Development of RLK-Unet: a clinically favorable deep learning algorithm for brain metastasis detection and treatment response assessment

1 code implementation • Frontiers in Oncology 2024 • Seungyeon Son, Bio Joo, Mina Park, Sang Hyun Suh, Hee Sang Oh, Jun Won Kim, Seoyoung Lee, Sung Jun Ahn*†, Jong-Min Lee*†

Methods and materials: A total of 128 patients with 1339 BMs, who underwent BM magnetic resonance imaging using the contrast-enhanced 3D T1 weighted (T1WI) turbo spin-echo black blood sequence, were included in the development of the DL algorithm.

Brain Tumor Segmentation Image Segmentation +2