Brain metastasis tumor segmentation and detection using deep learning algorithms: a systematic review and meta-analysis

TW Wang, MS Hsu, WK Lee, HC Pan, HC Yang… - Radiotherapy and …, 2023 - Elsevier
Background Manual detection of brain metastases is both laborious and inconsistent, driving
the need for more efficient solutions. Accordingly, our systematic review and meta-analysis …

[HTML][HTML] Artificial intelligence detection and segmentation models: a systematic review and meta-analysis of brain tumors in magnetic resonance imaging

TW Wang, YC Shiao, JS Hong, WK Lee, MS Hsu… - Mayo Clinic …, 2024 - Elsevier
Objective To thoroughly analyze factors affecting the generalization ability of deep learning
algorithms on brain tumor detection and segmentation models. Patients and Methods We …

[引用][C] Editorial for" Glioblastoma and Solitary Brain Metastasis: Differentiation by Integrating Demographic-MRI and Deep-Learning Radiomics Signatures".

T Okada - Journal of Magnetic Resonance Imaging: JMRI, 2023 - europepmc.org
Editorial for "Glioblastoma and Solitary Brain Metastasis: Differentiation by Integrating
Demographic-MRI and Deep-Learning Radiomics Signatures". - Abstract - Europe PMC Sign in …