Effective Tumor Annotation for Automated Diagnosis of Liver Cancer

Effective Tumor Annotation for Automated Diagnosis of Liver Cancer

In recent years, visual cancer information retrieval using Artificial Intelligence has been shown to be effective in diagnosis and treatment. Especially for a modern liver-cancer diagnosis system, the automated tumor annotation plays a crucial role. So-called tumor annotation refers to tagging the t...

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Bibliographic Details
Main Authors: Yi-Hsuan Chuang, Ja-Hwung Su, Tzu-Chieh Lin, Hue-Xin Cheng, Pin-Hao Shen, Jin-Ping Ou, Ding-Hong Han, Yi-Wen Liao, Yeong-Chyi Lee, Yu-Fan Cheng, Tzung-Pei Hong, Katherine Shu-Min Li, Yi Lu, Chih-Chi Wang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Liver cancer diagnosis
liver tumor segmentation
liver tumor measuring
liver tumor location
liver tumor recognition
Online Access:https://ieeexplore.ieee.org/document/11025471/
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