most citedMIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework

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eess.IV2024

Deep Learning-Based Automated Post-Operative Gross Tumor Volume Segmentation in Glioblastoma Patients

Rajarajeswari Muthusivarajan, Adrian Celaya, Maguy Farhat +8

Precise automated delineation of post-operative gross tumor volume in glioblastoma cases is challenging and time-consuming owing to the presence of edema and the deformed brain tis…

eess.IV2024★ 1 cited

MIST: A Simple and Scalable End-To-End 3D Medical Imaging Segmentation Framework

Adrian Celaya, Evan Lim, Rachel Glenn +7

Medical imaging segmentation is a highly active area of research, with deep learning-based methods achieving state-of-the-art results in several benchmarks. However, the lack of st…