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International Journal of Imaging Systems and Technology, Volume 33
Volume 33, Number 1, January 2023
Editorial
- Mohamed L. Seghier:
Preparing a successful Special Issue proposal. 3-5
Research Articles
- Lu Ma
, Shuni Song, Liting Guo, Wenjun Tan, Lisheng Xu
COVID-19 lung infection segmentation from chest CT images based on CAPA-ResUNet. 6-17 - Harshal A. Sanghvi
A deep learning approach for classification of COVID and pneumonia using DenseNet-201. 18-38 - Harsh Gupta, Naman Bansal
A hybrid convolutional neural network model to detect COVID-19 and pneumonia using chest X-ray images. 39-52 - Pu Yan, Gang Wang, Jie Chen, Qingwei Tang, Heng Xu:
Skin lesion classification based on the VGG-16 fusion residual structure. 53-68 - Oznur Ozaltin
Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm. 69-91 - Sumod Sundar, Sumathy Subramanian
An effective deep learning model for grading abnormalities in retinal fundus images using variational auto-encoders. 92-107 - Uma Yadav
A novel automated depression detection technique using text transcript. 108-122 - Debayan Bhattacharya
Squeeze and multi-context attention for polyp segmentation. 123-142 - Tongyuan Huang
Research on the magnetic resonance imaging brain tumor segmentation algorithm based on DO-UNet. 143-157 - Yibeltal Tamyalew, Ayodeji Olalekan Salau
Detection and classification of large bowel obstruction from X-ray images using machine learning algorithms. 158-174 - Seenia Francis
SABOS-Net: Self-supervised attention based network for automatic organ segmentation of head and neck CT images. 175-191 - Bohan Yin
Error analysis driven network modification for surgical tools detection in laparoscopic frames. 192-203 - Mili Rosline Mathews
A lightweight deep learning model for retinal optical coherence tomography image classification. 204-216 - Tiejun Yang, Xinhao Bai
DAU-Net: An unsupervised 3D brain MRI registration model with dual-attention mechanism. 217-229 - M. Jeya Sundari
Factorization-based active contour segmentation and pelican optimization-based modified bidirectional long short-term memory for ovarian tumor detection. 230-245 - Rajneesh Kumar Patel
Automated screening of glaucoma stages from retinal fundus images using BPS and LBP based GLCM features. 246-261 - Madan Parajuli, Mohamed Shaban
Automated differentiation of skin melanocytes from keratinocytes in high-resolution histopathology images using a weakly-supervised deep-learning framework. 262-275 - Salwan Tajjour
A novel hybrid artificial neural network technique for the early skin cancer diagnosis using color space conversions of original images. 276-286 - Bakul Gohel
EEG/MEG source imaging in the absence of subject's brain MRI scan: Perspective on co-registration and MRI selection approach. 287-298 - Jun Wu
Automated segmentation of diabetic macular edema in OCT B-scan images based on RCU-Net. 299-311 - Wei Guo, Shijie Liu
Cascaded networks for the embryo classification on microscopic images using the residual external-attention. 312-322 - Asieh Khosravanian
Enhancing level set brain tumor segmentation using fuzzy shape prior information and deep learning. 323-339 - Gurinderjeet Kaur
Deep learning and machine learning-based early survival predictions of glioblastoma patients using pre-operative three-dimensional brain magnetic resonance imaging modalities. 340-361 - Shan Jin
Automatic cervical cancer segmentation in multimodal magnetic resonance imaging using an EfficientNet encoder in UNet++ architecture. 362-377 - Sinan Altun
LSS-net: 3-dimensional segmentation of the spinal canal for the diagnosis of lumbar spinal stenosis. 378-388 - Xiaoyan Fan
Medical image contrast enhancement based on improved sparrow search algorithm. 389-402 - Haotian Zhang
Retinal fundus image registration framework using Bayesian integration and asymmetric Gaussian mixture model. 403-418 - Diana Baby, Sujitha Juliet
An efficient lymphocytic leukemia detection based on EfficientNets and ensemble voting classifier. 419-426 - N. Nithya
Resolution improvement using enriched Krylov subspace for microwave tomography breast imaging system. 427-442
Volume 33, Number 2, March 2023
Research Articles
- Ali Abbasian Ardakani
Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis. 445-464 - Syed Sajid Hussain
Enc-Unet: A novel method for Glioma segmentation. 465-482 - Anjan Gudigar
FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas. 483-494 - Pallabi Sharma
LPNet: A lightweight CNN with discrete wavelet pooling strategies for colon polyps classification. 495-510 - Angamuthu Rajasekaran Kavitha
Brain tumor segmentation using a deep Shuffled-YOLO network. 511-522 - Jing Wang, Wenjuan Zhang, Rui Zhu:
A multimodal molecular image fusion method based on relative total variation and co-saliency detection. 523-546 - Heewon Yoon
Using a convolutional neural network model to derive imaging landmarks for lumbar spine numbering on axial magnetic resonance images. 547-555 - Ellák Somfai
Handling dataset dependence with model ensembles for skin lesion classification from dermoscopic and clinical images. 556-571 - Muhammad Attique Khan
Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm. 572-587 - Nitika Goenka
Alzheimer's detection using various feature extraction approaches using a multimodal multi-class deep learning model. 588-609 - Latifa Houria
Multimodal magnetic resonance imaging for Alzheimer's disease diagnosis using hybrid features extraction and ensemble support vector machines. 610-621 - Zhiwei Ye, Zilun Song
A modified threshold score-based multilevel thresholding segmentation technique for brain magnetic resonance images using opposition-based learning hybrid rice optimization algorithm. 622-643 - K. H. Vijaya Kumari, Soubhagya Sankar Barpanda
Residual UNet with Dual Attention - An ensemble residual UNet with dual attention for multi-modal and multi-class brain MRI segmentation. 644-658 - Shobha Jose
Intramuscular EMG classifier for detecting myopathy and neuropathy. 659-669 - Ming Meng
Optimal channel and frequency band-based feature selection for motor imagery electroencephalogram classification. 670-679 - Ramzi Mahmoudi
Ventricular segmentation and modeling using topological watershed transformation and harmonic state model. 680-700 - Geetha Sushama
Attention augmented residual autoencoder for efficient polyp segmentation. 701-713 - Rupesh Mahamune
An automatic channel selection method based on the standard deviation of wavelet coefficients for motor imagery based brain-computer interfacing. 714-728 - P. Vaidehi Nayantara, Surekha Kamath
Automatic liver tumor segmentation on multiphase computed tomography volume using SegNet deep neural network and K-means clustering. 729-745 - Balakumaresan Ragupathy
A novel approach for MR brain tumor classification and detection using optimal CNN-SVM model. 746-759 - Muhammet Serdar Bugday, Mehmet Akcicek
Automatic diagnosis of ureteral stone and degree of hydronephrosis with proposed convolutional neural network, Relief, and gradient-weighted class activation mapping based deep hybrid model. 760-769
Corrigendum
- Correction to 'ORYX-MRSI: A fully-automated open-source software for proton magnetic resonance spectroscopic imaging data analysis'. 770
Volume 33, Number 3, May 2023
Editorial
- Mohamed L. Seghier
Using ChatGPT and other AI-assisted tools to improve manuscripts readability and language. 773-775
Research Articles
- Mahmut Agrali
DeepChestNet: Artificial intelligence approach for COVID-19 detection on computed tomography images. 776-788 - S. Jeevitha
A joint segmentation and classification framework for COVID-19 infection segmentation and detection from chest CT images. 789-806 - Rajneesh Kumar Patel
Automated diagnosis of COVID stages using texture-based Gabor features in variational mode decomposition from CT images. 807-821 - Sangeetha Balachandran
Semantic context-aware attention UNET for lung cancer segmentation and classification. 822-836 - Quan Sheng, Yutao Zhang, Haifeng Shi, Zhuqing Jiao
Global iterative optimization framework for predicting cognitive function statuses of patients with end-stage renal disease. 837-852 - Muhammet Emin Sahin
Image processing and machine learning-based bone fracture detection and classification using X-ray images. 853-865 - Dania Mushtaq
An automatic gastric polyp detection technique using deep learning. 866-880 - Swati P. Pawar
Multi-level deep learning based lung cancer classifier for classification based on tumour-node-metastasis approach. 881-894 - Necip Cinar, Mehmet Kaya
A novel convolutional neural network-based approach for brain tumor classification using magnetic resonance images. 895-908 - Geetha Pavani Pappu
EANet: Multiscale autoencoder based edge attention network for fluid segmentation from SD-OCT images. 909-927 - Prasenjit Dhar
HPKNN: Hyper-parameter optimized KNN classifier for classification of poikilocytosis. 928-950 - Mehmet Ercan Nergiz
Federated learning-based colorectal cancer classification by convolutional neural networks and general visual representation learning. 951-964 - Priyanka Arora
Performance analysis of various denoising filters on intravascular ultrasound coronary artery images. 965-984 - Sandeep Singh Sengar
Multi-planar 3D knee MRI segmentation via UNet inspired architectures. 985-998 - Mustafa Gürman, Bülent Bilgehan
A powerful probabilistic model for noise analysis in medical images. 999-1013 - Mahesh Gour
XCapsNet: A deep neural network for automated detection of diabetic retinopathy. 1014-1027 - Deepak Saini
Automated knee osteoarthritis severity classification using three-stage preprocessing method and VGG16 architecture. 1028-1047 - Ravindranath Kadirappa
Histopathological carcinoma classification using parallel, cross-concatenated and grouped convolutions deep neural network. 1048-1061 - Yanyan Shi, Zhang Yuhang, Meng Wang, Gao Zhen, Dai Meng, Feng Fu:
Image reconstruction based on a modified bird swarm optimization algorithm for electrical impedance tomography. 1062-1072 - Prabhishek Singh
Total variation-based ultrasound image despeckling using method noise thresholding in non-subsampled contourlet transform. 1073-1091 - Qi Ding, Navid Razmjooy
An optimal diagnosis system for melanoma dermoscopy images based on enhanced design of horse herd optimizer. 1092-1107
Volume 33, Number 4, July 2023
Editorial
- Yudong Zhang:
Fighting against COVID-19: Innovations and applications. 1111-1115
Research Articles
- Abdullahi Umar Ibrahim
Large-scaled detection of COVID-19 from X-ray using transfer learning. 1116-1128 - Upendra Kumar Acharya
Hybrid deep neural network for automatic detection of COVID-19 using chest x-ray images. 1129-1143 - Kenan Erdem
Hybrid-Patch-Alex: A new patch division and deep feature extraction-based image classification model to detect COVID-19, heart failure, and other lung conditions using medical images. 1144-1159 - Faraz Bagwan
A precise and timely graph-based approach to identify SARS Covid19 infection from medical imaging data using IsoCovNet. 1160-1176 - Leena Samantaray, Rutuparna Panda
A novel adaptive class weight adjustment-based multiclass segmentation error minimization technique for COVID-19 X-ray image analysis. 1177-1193 - Dolly Das
Mixed attention and regularized COVID-19 network: An approach to detection of COVID-19 with chest x-ray images. 1194-1222 - Haytham Al Ewaidat
Establishment of national diagnostic reference levels as guidelines for computed tomography radiation in Jordan. 1223-1234 - Nan Yan
Pneumonia X-ray detection with anchor-free detection framework and data augmentation. 1235-1246 - Muhammad Tahir Akram
Effective data augmentation for brain tumor segmentation. 1247-1260 - Jingyu Zhu, Jianming Ye, Leshui Dong, Xiaofei Ma, Na Tang, Peng Xu, Wei Jin, Ruipeng Li, Guang Yang
Non-invasive prediction of overall survival time for glioblastoma multiforme patients based on multimodal MRI radiomics. 1261-1274 - Muhammad Attique Khan
SkinNet-ENDO: Multiclass skin lesion recognition using deep neural network and Entropy-Normal distribution optimization algorithm with ELM. 1275-1292 - Erkan Duman
Ensemble the recent architectures of deep convolutional networks for skin diseases diagnosis. 1293-1305 - Sreedhar Kollem
AlexNet-NDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz-based data augmentation. 1306-1322 - V. Nehru
Segmentation of brain tumor subregions with depthwise separable dense U-NET (DSDU-NET). 1323-1334 - Buket Kaya
A CNN transfer learning-based approach for segmentation and classification of brain stroke from noncontrast CT images. 1335-1352 - Anisha Isaac
Feature selection and classification using bio-inspired algorithms for the diagnosis of pulmonary emphysema subtypes. 1353-1367 - Murat Aydogan
A hybrid deep neural network-based automated diagnosis system using x-ray images and clinical findings. 1368-1382 - Khalil Barbouchi
A transformer-based deep neural network for detection and classification of lung cancer via PET/CT images. 1383-1395 - Colline Blanc
Combining PropSeg and a convolutional neural network for automatic spinal cord segmentation in pediatric populations and patients with spinal cord injury. 1396-1405 - Manvir Kaur
E-CNNet: Time-reassigned Multisynchrosqueezing transform-based deep learning framework for MI-BCI task classification. 1406-1423 - Xiaoying Pan, Jia Lian
Real-time coloring method of laser surgery video based on generative adversarial network. 1424-1436 - Mohammad R. Salmanpour
Prediction of drug amount in Parkinson's disease using hybrid machine learning systems and radiomics features. 1437-1449 - Chun-Ling Lin
Development of preprocessing methods and revised EfficientNet for diabetic retinopathy detection. 1450-1466
Volume 33, Number 5, September 2023
Research Articles
- Tong Wang
CA-UNet: Convolution and attention fusion for lung nodule segmentation. 1469-1479 - Hakan Özcan
BUS-CAD: A computer-aided diagnosis system for breast tumor classification in ultrasound images using grid-search-optimized machine learning algorithms with extended and Boruta-selected features. 1480-1493 - Seenia Francis
ContourGAN: Auto-contouring of organs at risk in abdomen computed tomography images using generative adversarial network. 1494-1504 - Majid Vafaeezadeh
CarpNet: Transformer for mitral valve disease classification in echocardiographic videos. 1505-1514 - Jian Chen
LMSA-Net: A lightweight multi-scale aware network for retinal vessel segmentation. 1515-1530 - Shen Jiang, Jinjiang Li
GR-Net: Gated axial attention ResNest network for polyp segmentation. 1531-1548 - Yonggong Ren, Wenqiang Xu
Few-shot learning for dermatological conditions with Lesion Area Aware Swin Transformer. 1549-1560 - Hui Wang, Qianqian Qi, Weijia Sun, Xue Li, Boxin Dong, Chunli Yao:
Classification of skin lesions with generative adversarial networks and improved MobileNetV2. 1561-1576 - Shweta Tyagi
Predicting lung cancer treatment response from CT images using deep learning. 1577-1592 - Wadhah Ayadi, Wajdi Elhamzi
A deep conventional neural network model for glioma tumor segmentation. 1593-1605 - J. Sofia Bobby
QCBO-WSVM: Quantum chaos butterfly optimization-based weighted support vector machine for neuropathic pain detection from EEG signal. 1606-1620 - Maria Naz
Multi-branch sustainable convolutional neural network for disease classification. 1621-1633 - Mengdan Cheng
A dual channel and spatial attention network for automatic spine segmentation of MRI images. 1634-1646 - Razieh Ganjee
A generalizable approach based on the U-Net model for automatic intraretinal cyst segmentation in SD-OCT images. 1647-1660 - Esraa Asem Shaker
Advanced imaging system for brain tumor automatic classification from MRI images using HOG and BOF feature extraction approaches. 1661-1671 - Sheng-Sheng Wang
Fusing feature and output space for unsupervised domain adaptation on medical image segmentation. 1672-1681 - V. Swetha
Classifications of benign and malignant mammogram images using Gabor-modified CNN architecture. 1682-1695 - Shankar Thawkar
Breast cancer: A hybrid method for feature selection and classification in digital mammography. 1696-1712 - Zuzheng Chang, Dragan Rodriguez
Optimized lung cancer detection by amended whale optimizer and rough set theory. 1713-1726 - Evgin Göçeri
Comparison of the impacts of dermoscopy image augmentation methods on skin cancer classification and a new augmentation method with wavelet packets. 1727-1744 - Sahar Gull
A deep learning approach for multi-stage classification of brain tumor through magnetic resonance images. 1745-1766 - Jiffy Joseph
Cone beam computed tomography enhancement using feature-embedded variational autoencoder with a perceptual loss function. 1767-1778 - Gulhan Kilicarslan
Breast lesion classification using features fusion and selection of ensemble ResNet method. 1779-1795 - Shree Prakash, Jagadeesh Kakarla
Three level automatic segmentation of optic disc using LAB color space contours and morphological operation. 1796-1813 - Devanand Ongole
Colour-based segmentation using FCM and K-means clustering for 3D thyroid gland state image classification using deep convolutional neural network structure. 1814-1826
Volume 33, Number 6, November 2023
Research Articles
- Om Ramakisan Varma
COVID-19: A systematic review of prediction and classification techniques. 1829-1857 - Lotfi Mhamdi
Deep learning for COVID-19 contamination analysis and prediction using ECG images on Raspberry Pi 4. 1858-1869 - Yuan Yang
Distributed autoencoder classifier network for small-scale and scattered COVID-19 dataset classification. 1870-1881 - Aya Nader Salama
An efficient quantification of COVID-19 in chest CT images with improved semantic segmentation using U-Net deep structure. 1882-1901 - Yoshio Watanabe
Maximum isotope accumulation in the retrosplenial cortex during amnesia attack and its temporal change suggest cortical spreading depression as a pathophysiology of patients with transient global amnesia. 1902-1913 - Xue Xia
Lesion-aware network for diabetic retinopathy diagnosis. 1914-1928 - Ömer Faruk Söylemez
Forward selection-based ensemble of deep neural networks for melanoma classification in dermoscopy images. 1929-1943 - Xinying Wang, Jian Yi, Yang Li:
Cerebral stroke classification based on fusion model of 3D EmbedConvNext and 3D Bi-LSTM network. 1944-1956 - G. Renith
An efficient skin cancer detection and classification using Improved Adaboost Aphid-Ant Mutualism model. 1957-1972 - Zhi Wang
UACENet: Uncertain area attention and cross-image context extraction network for polyp segmentation. 1973-1987 - N. Alizadeh, Sajjad Afrakhteh
Deep CNN-based classification of motor imagery tasks from EEG signals using 2D wavelet transformed images of adaptively reconstructed signals from MVMD decomposed modes. 1988-2011 - Xiaochen Wang
Multiscale attention network for retinal vein occlusion classification with multicolor image. 2012-2022 - Zhenrun Zhan
Applying machine learning to screen for acute myocardial infarction-related biomarkers and immune infiltration features and validate it clinically and experimentally. 2023-2043 - Ciyamala Kushbu Sadhanandan
An efficient deep learning algorithm for the segmentation of cardiac ventricles. 2044-2060 - Kamakshi Rautela
Active contour and texture features hybrid model for breast cancer detection from ultrasonic images. 2061-2072 - Qiang Li, Hengxin Liu
Brain tumor image segmentation based on prior knowledge via transformer. 2073-2087 - Yuanyuan Peng
Lung lobe segmentation in computed tomography images based on multi-feature fusion and ensemble learning framework. 2088-2099 - Priyanka Grover
Design and analysis of a super compact UWB antenna for accurate detection of breast tumors using monostatic radar-based microwave imaging technique. 2100-2117 - Qiong Liu
An improved method for thyroid nodule ultrasound image segmentation based on U2-Net. 2118-2127 - A. Pandian
Improved multiple sclerosis diagnosis with advanced deep learning techniques. 2128-2141 - Rajeshwari Rengarajan
Enhanced grasshopper optimization-based selection of ultrasound and elastography features for breast lesion classification. 2142-2156 - Narayanan Krishnasamy
Deep learning-based robust hybrid approaches for brain tumor classification in magnetic resonance images. 2157-2177 - Hamed Zamanian
Grading of steatosis, fibrosis, lobular inflammation, and ballooning from liver pathology images using pre-trained convolutional neural networks. 2178-2193 - Shaobo Wang, Zaoqin Chen, Yangyang Liu
Relationship between reduced scattering coefficient and intracranial pressure in clinical patients under different brain edema states. 2194-2202 - Malvika Ashok
HCIU: Hybrid clustered inception-based UNET for the automatic segmentation of organs at risk in thoracic computed tomography images. 2203-2217
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