Results 21 to 30 of about 16,791,752 (293)
3D medical volume segmentation using hybrid multiresolution statistical approaches [PDF]
, 2010 This article is available through the Brunel Open Access Publishing Fund. Copyright © 2010 S AlZu’bi and A Amira.3D volume segmentation is the process of partitioning voxels into 3D regions (subvolumes) that represent meaningful physical entities which ...
Alzubi, S +3 more
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Review of U-Net-Based Convolutional Neural Networks for Breast Medical Image Segmentation [PDF]
Jisuanji kexue yu tansuoU-Net and its variants have showcased exceptional performance in the domain of breast medical image segmentation. By employing a fully convolutional network (FCN) structure for semantic segmentation, the symmetrical structure of U-Net offers remarkable ...
PU Qiumei, YIN Shuai, LI Zhengmao, ZHAO Lina
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Digital Medical Image Segmentation Using Fuzzy C-Means Clustering
UHD Journal of Science and Technology, 2020 In the modern globe, digital medical image processing is a major branch to study in the fields of medical and information technology. Every medical field relies on digital medical imaging in diagnosis for most of their cases.
Bakhtyar Ahmed Mohammed +1 more
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Transforming the Interactive Segmentation for Medical Imaging
, 2022 Accepted to MICCAI ...
Wentao Liu +4 more
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Distance Regularized Level Set Evolution for Medical Image Segmentation [PDF]
, 2013 Medical image is an important tool because it can be used for surgical planning and simulation, radiotherapy planning, and tracking the progress of disease. To analyze the medical image, it must partitioned into different segment using image segmentation
Pranowo, Pranowo, Rianto , Indra
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Efficient Subclass Segmentation in Medical Images
, 2023 As research interests in medical image analysis become increasingly fine-grained, the cost for extensive annotation also rises. One feasible way to reduce the cost is to annotate with coarse-grained superclass labels while using limited fine-grained annotations as a complement.
Linrui Dai +2 more
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Brain Image Segmentation Based on Fuzzy Clustering
Al-Mustansiriyah Journal of Science, 2018 The segmentation performance is topic to suitable initialization and best configuration of supervisory parameters. In medical image segmentation, the segmentation is very important when the diagnosing becomes very hard in medical images which are not ...
Mohammed Y. Kamil
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Interaction in the segmentation of medical images: A survey
Medical Image Analysis, 2001 Segmentation of the object of interest is a difficult step in the analysis of digital images. Fully automatic methods sometimes fail, producing incorrect results and requiring the intervention of a human operator. This is often true in medical applications, where image segmentation is particularly difficult due to restrictions imposed by image ...
Olabarriaga, S.D., Smeulders, A.W.M.
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How interaction methods affect image segmentation: user experience in the task [PDF]
, 2013 Interactive image segmentation is extensively used in photo editing when the aim is to separate a foreground object from its background so that it is available for various applications.
Healy, Graham +12 more
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Neutrosophic DICOM Image Processing and its applications [PDF]
Neutrosophic Sets and Systems, 2023 Medical images are essential in contemporary medicine because they provide practicable entropy, which is used to diagnose medical conditions. It is useful to visualize abnormality in several parts of the body.
D. Nagarajan, S. Broumi
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