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

Abbasi et al., 2022 - Google Patents

Medical image registration using unsupervised deep neural network: A scoping literature review

Abbasi et al., 2022

View PDF
Document ID
9409537061493330237
Author
Abbasi S
Tavakoli M
Boveiri H
Shirazi M
Khayami R
Khorasani H
Javidan R
Mehdizadeh A
Publication year
Publication venue
Biomedical Signal Processing and Control

External Links

Snippet

In medicine, image registration is vital in image-guided interventions and other clinical applications. However, it is a difficult subject to be addressed which by the advent of machine learning, there have been considerable progress in algorithmic performance has …
Continue reading at arxiv.org (PDF) (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
    • G06T2207/30048Heart; Cardiac
    • 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
    • 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
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10104Positron emission tomography [PET]
    • 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
    • G06F19/321Management of medical image data, e.g. communication or archiving systems such as picture archiving and communication systems [PACS] or related medical protocols such as digital imaging and communications in medicine protocol [DICOM]; Editing of medical image data, e.g. adding diagnosis information
    • 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
    • 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
    • G06K2209/00Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K2209/05Recognition of patterns in medical or anatomical images
    • G06K2209/051Recognition of patterns in medical or anatomical images of internal organs
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/0031Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for topological mapping of a higher dimensional structure on a lower dimensional surface
    • G06T3/0037Reshaping or unfolding a 3D tree structure onto a 2D plane

Similar Documents

Publication Publication Date Title
Abbasi et al. Medical image registration using unsupervised deep neural network: A scoping literature review
Yi et al. Generative adversarial network in medical imaging: A review
Fu et al. Deep learning in medical image registration: a review
Jiao et al. Learning with limited annotations: a survey on deep semi-supervised learning for medical image segmentation
Yousef et al. A holistic overview of deep learning approach in medical imaging
Tajbakhsh et al. Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation
Sahiner et al. Deep learning in medical imaging and radiation therapy
Zhang et al. Review of breast cancer pathologigcal image processing
Mazurowski et al. Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI
Wang et al. Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation
Men et al. Automatic segmentation of the clinical target volume and organs at risk in the planning CT for rectal cancer using deep dilated convolutional neural networks
Gu et al. On the performance of lung nodule detection, segmentation and classification
Liu SUSAN: segment unannotated image structure using adversarial network
Guo et al. Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach
Menze et al. The multimodal brain tumor image segmentation benchmark (BRATS)
Liu et al. Pulmonary nodule classification in lung cancer screening with three-dimensional convolutional neural networks
US9218542B2 (en) Localization of anatomical structures using learning-based regression and efficient searching or deformation strategy
Zhang et al. A survey on deep learning of small sample in biomedical image analysis
Peng et al. Segmentation of lung in chest radiographs using hull and closed polygonal line method
Yang et al. Neural multi-atlas label fusion: Application to cardiac MR images
Agravat et al. A survey and analysis on automated glioma brain tumor segmentation and overall patient survival prediction
WO2022152866A1 (en) Devices and process for synthesizing images from a source nature to a target nature
Alaskar et al. Deep learning approaches for automatic localization in medical images
Xu et al. 3D‐SIFT‐Flow for atlas‐based CT liver image segmentation
Chen et al. DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT