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eess.IV2022
Effect of Prior-based Losses on Segmentation Performance: A Benchmark
Rosana El Jurdi, Caroline Petitjean, Veronika Cheplygina +2
Today, deep convolutional neural networks (CNNs) have demonstrated state-of-the-art performance for medical image segmentation, on various imaging modalities and tasks. Despite ear…
eess.IV2019★ 10 cited
SegTHOR: Segmentation of Thoracic Organs at Risk in CT images
Z. Lambert, C. Petitjean, B. Dubray +1
In the era of open science, public datasets, along with common experimental protocol, help in the process of designing and validating data science algorithms; they also contribute…