Results 11 to 20 of about 170,175 (308)
Medical Image Segmentation Based on Transformer and HarDNet Structures
IEEE Access, 2023 Medical image segmentation is a crucial way to assist doctors in the accurate diagnosis of diseases. However, the accuracy of medical image segmentation needs further improvement due to the problems of many noisy medical images and the high similarity ...
Tongping Shen, Huanqing Xu
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SW-UNet: a U-Net fusing sliding window transformer block with CNN for segmentation of lung nodules
Frontiers in Medicine, 2023 Medical images are information carriers that visually reflect and record the anatomical structure of the human body, and play an important role in clinical diagnosis, teaching and research, etc.
Jiajun Ma +4 more
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The semiotics of medical image Segmentation [PDF]
Medical Image Analysis, 2018 As the interaction between clinicians and computational processes increases in complexity, more nuanced mechanisms are required to describe how their communication is mediated. Medical image segmentation in particular affords a large number of distinct loci for interaction which can act on a deep, knowledge-driven level which complicates the naive ...
John S. H. Baxter +3 more
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Loss odyssey in medical image segmentation
Medical Image Analysis, 2021 New segmentation results (based on nnUNetV2) of different loss functions in "Loss Odyssey in Medical Image Segmentation".
Jun Ma 0016 +7 more
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Complexity, 2020 Medical image segmentation is a key technology for image guidance. Therefore, the advantages and disadvantages of image segmentation play an important role in image-guided surgery.
Feng-Ping An, Jun-e Liu
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Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels [PDF]
, 2022 Recent work has shown that label-efficient few-shot learning through self-supervision can achieve promising medical image segmentation results. However, few-shot segmentation models typically rely on prototype representations of the semantic classes ...
Jenssen, Robert +3 more
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Trends and Techniques in Medical Image Segmentation for Disease Detection [PDF]
ITM Web of ConferencesMedical images have become an indispensable and important tool for the diagnosis of medical conditions and surgical guidance. As computer vision technology advances, Medical image segmentation technology has effectively assisted clinicians in making ...
Jiang Xinli
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Active contours based on weighted gradient vector flow and balloon forces for medical image segmentation [PDF]
, 2014 Active contours, or snakes, have been widely used for image segmentation purposes. However, high noise sensitivity and poor performance over weak edges are the most acute issues that hinder the segmentation accuracy of these curves, particularly in ...
Victor Sanchez +5 more
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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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Medical imaging analysis with artificial neural networks [PDF]
, 2010 Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computer-aided diagnosis, medical image segmentation and edge detection ...
J. Ren +8 more
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