RenalSegNet: automated segmentation of renal tumor, veins, and arteries in contrast-enhanced CT scans

RenalSegNet: automated segmentation of renal tumor, veins, and arteries in contrast-enhanced CT scans

Abstract Renal carcinoma is a frequently seen cancer globally, with laparoscopic partial nephrectomy (LPN) being the primary form of treatment. Accurately identifying renal structures such as kidneys, tumors, veins, and arteries on CT scans is crucial for optimal surgical preparation and treatment....

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Bibliographic Details
Main Authors: Rashid Khan, Chao Chen, Asim Zaman, Jiayi Wu, Haixing Mai, Liyilei Su, Yan Kang, Bingding Huang
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Complex & Intelligent Systems
Subjects:
RenalSegNet
Kidney cancer
Contrast-enhanced CT scans
MedSegPath
Deep learning
Online Access:https://doi.org/10.1007/s40747-024-01751-2
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