MurSS: A Multi-Resolution Selective Segmentation Model for Breast Cancer

MurSS: A Multi-Resolution Selective Segmentation Model for Breast Cancer

Accurately segmenting cancer lesions is essential for effective personalized treatment and enhanced patient outcomes. We propose a multi-resolution selective segmentation (MurSS) model to accurately segment breast cancer lesions from hematoxylin and eosin (H&E) stained whole-slide images (WSIs)....

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Bibliographic Details
Main Authors: Joonho Lee, Geongyu Lee, Tae-Yeong Kwak, Sun Woo Kim, Min-Sun Jin, Chungyeul Kim, Hyeyoon Chang
Format: Article
Language:English
Published: MDPI AG 2024-05-01
Series:Bioengineering
Subjects:
multi-resolution
segmentation
selective segmentation method
breast cancer
Online Access:https://www.mdpi.com/2306-5354/11/5/463

Internet

https://www.mdpi.com/2306-5354/11/5/463

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