Title
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Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient Florian Kofler Ivan Ezhov Fabian Isensee F. Balsiger Christoph Berger ... C. Zimmer D. Ankerst Jan Kirschke Benedikt Wiestler Bjoern Menze 56 52 0 10 Mar 2021
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation B. Shirokikh A. Shevtsov Anvar Kurmukov A. Dalechina Egor Krivov V. Kostjuchenko A. Golanov Mikhail Belyaev 58 21 0 20 Jul 2020
Mish: A Self Regularized Non-Monotonic Activation Function Diganta Misra 93 680 0 23 Aug 2019
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Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations Carole H Sudre Wenqi Li Tom Vercauteren Sébastien Ourselin M. Jorge Cardoso SSeg 143 2,153 0 11 Jul 2017
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 248 8,722 0 15 Jun 2016
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