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...
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: | |
Online Access: | https://www.mdpi.com/2072-6694/15/3/837 |
Similar Items
-
Breast Tumour Classification Using Ultrasound Elastography with Machine Learning: A Systematic Scoping Review
by: Ye-Jiao Mao, et al.
Published: (2022-01-01) -
Three Dimensional Models of Endocrine Organs and Target Tissues Regulated by the Endocrine System
by: Edlira Luca, et al.
Published: (2023-09-01) -
Early Complications of Radioisotope Therapy with Lutetium-177 and Yttrium-90 in Patients with Neuroendocrine Neoplasms—A Preliminary Study
by: Barbara Bober, et al.
Published: (2022-02-01) -
Treatment of Advanced Gastro-Entero-Pancreatic Neuro-Endocrine Tumors: A Systematic Review and Network Meta-Analysis of Phase III Randomized Controlled Trials
by: Claudio Ricci, et al.
Published: (2021-01-01) -
Histopathological Features Predicting Neuroendocrine Morphology in Primary Breast Tumors: A Retrospective Analysis
by: Mine Ozsen, et al.
Published: (2024-04-01)