@inproceedings{d2da48f01e1748079a5f2be27d9864f9,
title = "Abstract: Deep-learning on Lossily Compressed Pathology Images Adverse Effects for ImageNet Pre-trained Models",
abstract = "Digital whole slide imaging (WSI) systems allow scanning complete probes at microscopic resolutions, making image compression inevitable to reduce storage costs. While lossy image compression is readily incorporated in proprietary file formats as well as the open DICOM format for WSI, its impact on deep-learning algorithms is largely unknown. We compare the performance of several deep learning classification architectures on different datasets using a wide range and different combinations of compression ratios during training and inference. We use ImageNet pre-trained models, which is commonly applied in computational pathology. With this work, we present a quantitative assessment on the effects of repeated lossy JPEG compression for ImageNet pre-trained models. We show adverse effects for a classification task, when certain quality factors are combined during training and inference. This work was published on the International Workshop on Medical Optical Imaging and Virtual Microscopy Image Analysis [1].",
author = "Maximilian Fischer and Peter Neher and Michael G{\"o}tz and Shuhan Xiao and Almeida, {Silvia Dias} and Peter Sch{\"u}ffler and Alexander Muckenhuber and Rickmer Braren and Jens Kleesiek and Marco Nolden and Klaus Maier-Hein",
note = "Publisher Copyright: {\textcopyright} 2023 Der/die Autor(en), exklusiv lizenziert an Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature.; Bildverarbeitung f{\"u}r die Medizin Workshop, BVM 2023 ; Conference date: 02-07-2023 Through 04-07-2023",
year = "2023",
doi = "10.1007/978-3-658-41657-7_53",
language = "English",
isbn = "9783658416560",
series = "Informatik aktuell",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "245",
editor = "Deserno, {Thomas M.} and Heinz Handels and Andreas Maier and Klaus Maier-Hein and Christoph Palm and Thomas Tolxdorff",
booktitle = "Bildverarbeitung f{\"u}r die Medizin 2023 Proceedings, German Workshop on Medical Image Computing, Braunschweig",
}