Results 281 to 290 of about 170,175 (308)
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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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Soft thresholding for medical image segmentation
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010A new soft thresholding method is presented. The method is based on relating each pixel in the image to the different regions via a membership function, rather than through hard decisions. The membership function of each of the regions is derived from the histogram of the image.
Santiago, Aja-Fernandez +2 more
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Segmentation guided registration for medical images
SPIE Proceedings, 2005Registration 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
2005Medical 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 +2 more
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A Review of Deep-Learning-Based Medical Image Segmentation Methods
Sustainability, 2021Shuai Liu, Yudong Zhang, Xiangbin Liu
exaly
Boundary-aware context neural network for medical image segmentation
Medical Image Analysis, 2022Chaojie Ji, Ye Li, Ruxin Wang
exaly
Application of belief functions to medical image segmentation: A review
Information Fusion, 2023Su Ruan, Thierry Denoeux, Ling Huang
exaly
ResGANet: Residual group attention network for medical image classification and segmentation
Medical Image Analysis, 2022Junlong Cheng
exaly
Genetic Snakes for Medical Images Segmentation
1999In 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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AssistDistil for Medical Image Segmentation
Biomedical Signal Processing and ControlMahapara Khurshid +3 more
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