Deep Learning-Based Computer-Aided Detection System for Automated Treatment Response Assessment of Brain Metastases on 3D MRI

Deep Learning-Based Computer-Aided Detection System for Automated Treatment Response Assessment of Brain Metastases on 3D MRI

BackgroundAlthough accurate treatment response assessment for brain metastases (BMs) is crucial, it is highly labor intensive. This retrospective study aimed to develop a computer-aided detection (CAD) system for automated BM detection and treatment response evaluation using deep learning.MethodsWe...

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Bibliographic Details
Main Authors: Jungheum Cho, Young Jae Kim, Leonard Sunwoo, Gi Pyo Lee, Toan Quang Nguyen, Se Jin Cho, Sung Hyun Baik, Yun Jung Bae, Byung Se Choi, Cheolkyu Jung, Chul-Ho Sohn, Jung-Ho Han, Chae-Yong Kim, Kwang Gi Kim, Jae Hyoung Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Oncology
Subjects:
brain metastasis
computer-aided detection
machine learning
deep learning
Response Assessment in Neuro-Oncology Brain Metastases (RANO-BM)
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.739639/full

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https://www.frontiersin.org/articles/10.3389/fonc.2021.739639/full

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