Results 11 to 20 of about 169,019 (308)

Segment anything in medical images

Nature Communications
Medical image segmentation is a critical component in clinical practice, facilitating accurate diagnosis, treatment planning, and disease monitoring. However, existing methods, often tailored to specific modalities or disease types, lack generalizability
Jun Ma, Yuting He, Feifei Li, Lin Han, Chenyu You, Bo Wang   +5 more
doaj   +4 more sources

Automated medical image segmentation techniques

Journal of Medical Physics, 2010
Accurate segmentation of medical images is a key step in contouring during radiotherapy planning. Computed topography (CT) and Magnetic resonance (MR) imaging are the most widely used radiographic techniques in diagnosis, clinical studies and treatment ...
Sharma Neeraj, Aggarwal Lalit
doaj   +3 more sources

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, Eli Gibson, Roy Eagleson, Terry M. Peters   +3 more
openaire   +5 more sources

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, Jianan Chen 0001, Matthew Ng, Rui Huang, Yu Li 0031, Chen Li, Xiaoping Yang 0001, Anne L. Martel   +7 more
openaire   +4 more sources

Hybrid intelligence in medical image segmentation. [PDF]

Sci Rep
Abstract Medical image segmentation is vital for precise identification and analysis of anatomical structures and pathological regions, yet traditional models often fall short in aligning with clinical workflows, requiring extensive manual correction even when overall segmentation accuracy is high.
Ali NM, Oyelere SS, Jitani N, Sarmah R, Andrew S.   +4 more
europepmc   +4 more sources

Trends and Techniques in Medical Image Segmentation for Disease Detection [PDF]

ITM Web of Conferences
Medical 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
doaj   +1 more source

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, Khadidos, Alaa, Sanchez Silva, Victor, Chang-Tsun Li, Alaa Khadidos, Li, Chang-Tsun   +5 more
core   +1 more source

A medical image segmentation method based on multi-dimensional statistical features

Frontiers in Neuroscience, 2022
Medical image segmentation has important auxiliary significance for clinical diagnosis and treatment. Most of existing medical image segmentation solutions adopt convolutional neural networks (CNNs).
Yang Xu, Xianyu He, Guofeng Xu, Guanqiu Qi, Kun Yu, Li Yin, Pan Yang, Pan Yang, Yuehui Yin, Hao Chen   +9 more
doaj   +1 more source

Transforming the Interactive Segmentation for Medical Imaging

, 2022
Accepted to MICCAI ...
Wentao Liu, Chaofan Ma, Yuhuan Yang, Weidi Xie, Ya Zhang 0002   +4 more
openaire   +2 more sources

Fully Convolutional Network for the Semantic Segmentation of Medical Images: A Survey

Diagnostics, 2022
There have been major developments in deep learning in computer vision since the 2010s. Deep learning has contributed to a wealth of data in medical image processing, and semantic segmentation is a salient technique in this field.
Sheng-Yao Huang, Wen-Lin Hsu, Ren-Jun Hsu, Dai-Wei Liu   +3 more
doaj   +1 more source