[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Ameen et al., 2021 - Google Patents

Explainable residual network for tuberculosis classification in the IoT era

Ameen et al., 2021

Document ID
15037443936569292104
Author
Ameen Z
Mubarak A
Altrjman C
Alturjman S
Abdulkadir R
Publication year
Publication venue
2021 international conference on forthcoming networks and sustainability in AIoT era (FoNeS-AIoT)

External Links

Snippet

Tuberculosis (TB) is a lung disease that tops the world mortality rate. The widely employed method of diagnosis is the X-ray images which gives the pictorial information of the lungs. In the era of the Internet of Things (IoT), Artificial Intelligence (AI) using deep learning is among …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30048Heart; Cardiac
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • G06K9/4604Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6201Matching; Proximity measures
    • G06K9/6202Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Aggarwal et al. COVID-19 image classification using deep learning: Advances, challenges and opportunities
Alghamdi et al. Deep learning approaches for detecting COVID-19 from chest X-ray images: A survey
Patravali et al. 2D-3D fully convolutional neural networks for cardiac MR segmentation
Habib et al. Ensemble of CheXNet and VGG-19 feature extractor with random forest classifier for pediatric pneumonia detection
Rajaraman et al. Visualizing and explaining deep learning predictions for pneumonia detection in pediatric chest radiographs
Pant et al. Pneumonia detection: An efficient approach using deep learning
Ameen et al. Explainable residual network for tuberculosis classification in the IoT era
Malygina et al. Data augmentation with GAN: Improving chest X-ray pathologies prediction on class-imbalanced cases
Xie et al. Optic disc and cup image segmentation utilizing contour-based transformation and sequence labeling networks
Zaidi et al. Lung segmentation-based pulmonary disease classification using deep neural networks
Shamrat et al. Analysing most efficient deep learning model to detect COVID-19 from computer tomography images
Li et al. NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis
Zaidi et al. A deep learning approach for the classification of TB from NIH CXR dataset
Ahmed et al. Human skin diseases detection and classification using cnn
Wu et al. A fully convolutional network feature descriptor: Application to left ventricle motion estimation based on graph matching in short-axis MRI
Banerjee et al. Deep belief convolutional neural network with artificial image creation by gans based diagnosis of pneumonia in radiological samples of the pectoralis major
Gangadharan et al. Comparative analysis of deep learning-based brain tumor prediction models using MRI scan
Mann et al. A hybrid deep convolutional neural network model for improved diagnosis of pneumonia
Vinta et al. Segmentation and Classification of Interstitial Lung Diseases Based on Hybrid Deep Learning Network Model
Huang et al. A coarse‐refine segmentation network for COVID‐19 CT images
Ngo et al. Slice-level detection of intracranial hemorrhage on ct using deep descriptors of adjacent slices
Sri et al. Detection Of MRI Brain Tumor Using Customized Deep Learning Method Via Web App
Quevedo et al. Detecting Multi Thoracic Diseases in Chest X-Ray Images Using Deep Learning Techniques
Balaji et al. A novel approach for detection of hand arthritis using convolutional neural network
Zhou et al. Breast cancer detection by fusion of deep features with CNN extracted features