Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models - researchr publication authors

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Maximilian Fischer, Peter F. Neher, Michael Götz, Shuhan Xiao, Silvia Dias Almeida, Peter Schüffler, Alexander Muckenhuber, Rickmer Braren, Jens Kleesiek, Marco Nolden, Klaus H. Maier-Hein. Deep Learning on Lossily Compressed Pathology Images: Adverse Effects for ImageNet Pre-trained Models. In Yuankai Huo, Bryan A. Millis, Yuyin Zhou, Xiangxue Wang, Adam P. Harrison, Ziyue Xu 0001, editors, Medical Optical Imaging and Virtual Microscopy Image Analysis - First International Workshop, MOVI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Volume 13578 of Lecture Notes in Computer Science, pages 73-83, Springer, 2022. [doi]

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