You might also read
Articles linked to this work by shared authors, journal, and citation graph.
Updated: Aug 22, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
Published on: August 16, 2020
Jang-Hoon Oh1, Kyung Mi Lee2, Hyug-Gi Kim3
1Department of Biomedical Science and Technology, Graduate School, Kyung Hee University, #23 Kyungheedae-Ro, Dongdaemun-Gu, Seoul, 02447, Republic of Korea.
A novel deep learning algorithm (DLA) efficiently detects brain metastases (BM) using black-blood imaging. This AI tool improves detection sensitivity and significantly reduces radiologist reading time for intracranial tumors.
Failed At:
2026-06-19T13:48:59.030584+00:00
09:53Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
Published on: August 16, 2020
08:36Ultrasound Imaging-guided Intracardiac Injection to Develop a Mouse Model of Breast Cancer Brain Metastases Followed by Longitudinal MRI
Published on: March 6, 2014