Results 281 to 290 of about 169,019 (308)

IRUNet for medical image segmentation

Expert Systems with Applications, 2022
Fatemeh Hoorali, Hossein Khosravi, Bagher Moradi   +2 more
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Medical Image Segmentation on Multi-modality Images

2013
Segmentation is a hot issue in the domain of medical image analysis. It has a wide range of applications on medical research. A great many medical image segmentation algorithms have been proposed, and many good segmentation results were obtained. However, due to the noise, density inhomogenity, partial volume effects, and density overlap between normal
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Current Methods in Medical Image Segmentation

Annual Review of Biomedical Engineering, 2000
▪ Abstract  Image segmentation plays a crucial role in many medical-imaging applications, by automating or facilitating the delineation of anatomical structures and other regions of interest. We present a critical appraisal of the current status of semiautomated and automated methods for the segmentation of anatomical medical images.
D L, Pham, C, Xu, J L, Prince
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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.
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Hybrid Framework for Medical Image Segmentation

2005
Medical image segmentation is essential step for many image processing applications. In this paper, we present a hybrid framework designed for automated segmentation of radiological image, to get the organ or interested area from the image. This approach integrates region-based method and boundary-based method. Such integration reduces the drawbacks of
Chunyan Jiang, Xinhua Zhang, Christoph Meinel   +2 more
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A Review of Deep-Learning-Based Medical Image Segmentation Methods

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

Boundary-aware context neural network for medical image segmentation

Medical Image Analysis, 2022
Ruxin Wang, Chaojie Ji, Jinjiang Li
exaly  

Application of belief functions to medical image segmentation: A review

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

ResGANet: Residual group attention network for medical image classification and segmentation

Medical Image Analysis, 2022
Junlong Cheng, Xiaojing Kang, Yicheng Wu   +2 more
exaly  

Genetic Snakes for Medical Images Segmentation

1999
In this paper an approach is described for segmenting medical images. We use active contour model, also known as snakes, and we propose an energy minimization procedure based on Genetic Algorithms (GA). The widely recognized power of deformable models stems from their ability to segment anatomic structures by exploiting constraints derived from the ...
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