Endocrine Tumor Classification via Machine-Learning-Based Elastography: A Systematic Scoping Review

Endocrine Tumor Classification via Machine-Learning-Based Elastography: A Systematic Scoping Review

Elastography complements traditional medical imaging modalities by mapping tissue stiffness to identify tumors in the endocrine system, and machine learning models can further improve diagnostic accuracy and reliability. Our objective in this review was to summarize the applications and performance...

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Bibliographic Details
Main Authors: Ye-Jiao Mao, Li-Wen Zha, Andy Yiu-Chau Tam, Hyo-Jung Lim, Alyssa Ka-Yan Cheung, Ying-Qi Zhang, Ming Ni, James Chung-Wai Cheung, Duo Wai-Chi Wong
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Cancers
Subjects:
neoplasia
neoplasm
cancer
neuroendocrine tumor
computer-aided diagnosis
deep learning
Online Access:https://www.mdpi.com/2072-6694/15/3/837

Internet

https://www.mdpi.com/2072-6694/15/3/837

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