Improving the Generalizability of Deep Learning for T2-Lesion Segmentation of Gliomas in the Post-Treatment Setting
Although fully automated volumetric approaches for monitoring brain tumor response have
many advantages, most available deep learning models are optimized for highly curated …
many advantages, most available deep learning models are optimized for highly curated …
Postoperative glioblastoma segmentation: Development of a fully automated pipeline using deep convolutional neural networks and comparison with currently …
S Cepeda, R Romero, D Garcia-Perez… - arXiv preprint arXiv …, 2024 - arxiv.org
Accurately assessing tumor removal is paramount in the management of glioblastoma. We
developed a pipeline using MRI scans and neural networks to segment tumor subregions …
developed a pipeline using MRI scans and neural networks to segment tumor subregions …