Titlebook: Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse; Third MICCAI Worksho Shadi Albarqouni

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https://doi.org/10.1007/978-3-031-23759-1asets become publicly available, the number of samples in each individual database is often small. Combining different databases to create larger amounts of training data is appealing yet challenging due to the heterogeneity as a result of differences in data acquisition and annotation processes, of

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Madhubarna Dhar,Amrita Sen,Archana Patnaikspecific datasets. Indeed, even if over-fitting is avoided during the improvements of computer vision applications, large differences are expected. Differences might be related to settings of camera (exposure, white balance settings, etc.) and different blood film slides preparation. Generative adve

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