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IRUNet for medical image segmentation

Expert Systems with Applications, 2022
Fatemeh Hoorali   +2 more
openaire   +2 more sources

Evaluation of Segmentation algorithms for Medical Imaging

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005
This paper describes an approach to be used for medical image segmentation evaluation. The process for segmenting organs and structures from medical images is gaining increased importance in the diagnosis of diseases and in guiding minimally invasive surgical and therapeutic procedures.
Aaron, Fenster, Bernard, Chiu
openaire   +2 more sources

Segmentation guided registration for medical images

SPIE Proceedings, 2005
Registration and segmentation are two most important problems in the field of medical image analysis. Traditionally, they were treated as separate problems. In this paper, we introduce a unified variational framework for simultaneously carrying out image segmentation and registration.
openaire   +2 more sources

Deep Semantic Segmentation of Natural and Medical Images: A Review

Artificial Intelligence Review, 2021
Ghassan Hamarneh   +2 more
exaly  

A Review of Deep-Learning-Based Medical Image Segmentation Methods

Sustainability, 2021
Shuai Liu, Yudong Zhang, Xiangbin Liu
exaly  

Boundary-Aware Context Neural Network for Medical Image Segmentation

Medical Image Analysis, 2022
Chaojie Ji, Jianping Fan, Ye Li
exaly  

Application of Belief Functions to Medical Image Segmentation: A Review

Information Fusion, 2023
Su Ruan, Thierry Denoeux, Ling Huang
exaly  

U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

IEEE Access, 2021
Colin P Elkin   +2 more
exaly  

ResGANet: Residual Group Attention Network for Medical Image Classification and Segmentation

Medical Image Analysis, 2022
Junlong Cheng   +2 more
exaly  

AssistDistil for Medical Image Segmentation

Biomedical Signal Processing and Control
Mahapara Khurshid   +3 more
openaire   +2 more sources

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