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pro vyhledávání: '"Balsells, Alex"'
Autor:
Celaya, Adrian, Lim, Evan, Glenn, Rachel, Mi, Brayden, Balsells, Alex, Schellingerhout, Dawid, Netherton, Tucker, Chung, Caroline, Riviere, Beatrice, Fuentes, David
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 standardized tools for training, testing, and evaluating new methods mak
Externí odkaz:
http://arxiv.org/abs/2407.21343
Autor:
Balsells, Alex T.
This thesis discusses the problem of computerized tomography (CT) and related radiation therapy planning. In CT, the objective is to estimate theunknown attenuation distribution inside an object based on observed attenuation of X-rays traversing the
Within medical imaging segmentation, the Dice coefficient and Hausdorff-based metrics are standard measures of success for deep learning models. However, modern loss functions for medical image segmentation often only consider the Dice coefficient or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80a2347654df323800bc6a1d42ef8443