Concepedia

Concept

medical image segmentation

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3.9K

Publications

268.7K

Citations

15.1K

Authors

3.4K

Institutions

About

Medical image segmentation is a fundamental task within medical image analysis focused on partitioning a digital image into multiple meaningful regions or segments. This process aims to delineate and isolate specific anatomical structures, pathological findings, or other areas of interest, serving as a critical prerequisite for quantitative analysis, visualization, diagnosis, treatment planning, and clinical research.

Top Authors

Rankings shown are based on concept H-Index.

PH

Chinese University of Hong Kong

HR

National Institutes of Health Clinical Center

DX

Nvidia (United States)

YZ

Tencent (China)

GW

University of Electronic Science and Technology of China

Top Institutions

Rankings shown are based on concept H-Index.

Sun Yat-sen University

Guangzhou, China

Harvard University

Cambridge, United States