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

Hu et al., 2020 - Google Patents

Medical image reconstruction using generative adversarial network for Alzheimer disease assessment with class-imbalance problem

Hu et al., 2020

Document ID
8038055683002366561
Author
Hu S
Yu W
Chen Z
Wang S
Publication year
Publication venue
2020 IEEE 6th international conference on computer and communications (ICCC)

External Links

Snippet

One of the most challenging problem faced with medical image analysis is the lack of some modality images. In this work, we propose an effective data augmentation method that uses the generative adversarial network to reconstruct the missing PET images. A densely …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • 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
    • 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
    • G06T2207/10084Hybrid tomography; Concurrent acquisition with multiple different tomographic modalities
    • 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
    • G06T2207/10088Magnetic resonance imaging [MRI]
    • 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
    • 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
    • G06K9/6267Classification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • 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
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2211/00Image generation
    • G06T2211/40Computed tomography
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

Similar Documents

Publication Publication Date Title
Hu et al. Medical image reconstruction using generative adversarial network for Alzheimer disease assessment with class-imbalance problem
Song et al. PET image super-resolution using generative adversarial networks
Sun et al. An adversarial learning approach to medical image synthesis for lesion detection
CN109615636B (en) Blood vessel tree construction method and device in lung lobe segment segmentation of CT (computed tomography) image
Bi et al. Synthesis of positron emission tomography (PET) images via multi-channel generative adversarial networks (GANs)
Luca et al. Impact of quality, type and volume of data used by deep learning models in the analysis of medical images
Hu et al. Cross-modality synthesis from MRI to PET using adversarial U-net with different normalization
Wang et al. Information bottleneck-based interpretable multitask network for breast cancer classification and segmentation
Wu et al. Optimal topological cycles and their application in cardiac trabeculae restoration
Sreenivasu et al. [Retracted] Dense Convolutional Neural Network for Detection of Cancer from CT Images
Esmaeili et al. Generative adversarial networks for anomaly detection in biomedical imaging: A study on seven medical image datasets
Heydarheydari et al. Auto-segmentation of head and neck tumors in positron emission tomography images using non-local means and morphological frameworks
Bates et al. Extracting 3D vascular structures from microscopy images using convolutional recurrent networks
Cheng et al. Modified U-Net block network for lung nodule detection
Rehman et al. Liver lesion segmentation using deep learning models
Wu et al. 3d centroidnet: nuclei centroid detection with vector flow voting
Katran et al. A Review of Transformer Networks in MRI Image Classification
Islam et al. Seeking an optimal approach for Computer-aided Diagnosis of Pulmonary Embolism
Dou et al. Automatic lesion detection with three-dimensional convolutional neural networks
Yang et al. Dual-path network for liver and tumor segmentation in CT images using Swin Transformer encoding approach
Kumari et al. Data efficient deep learning for medical image analysis: A survey
Haryanto et al. Past, present, and future trend of GPU computing in deep learning on medical images
Dai et al. Automated detection of lung nodules in CT images with 3D convolutional neural networks
Tunga et al. U-net model-based classification and description of brain tumor in MRI images
Shinde et al. Breast Tumour Segmentation Using Advanced UNet with Saliency, Channel, and Spatial Attention Models