Titlebook: Computational Pathology and Ophthalmic Medical Image Analysis; First International Danail Stoyanov,Zeike Taylor,Hrvoje Bogunovic Conferenc

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Structure Instance Segmentation in Renal Tissue: A Case Study on Tubular Immune Cell Detectionly an immune cell detection. We used a dataset of renal allograft biopsies from the Radboud University Medical Centre, Nijmegen, the Netherlands. Our modified U-net reached a Dice score of 0.85 on the structure segmentation task. The F1-score of the immune cell detection was 0.33.

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Excited Nuclear States for He-8 (Helium),sis. Specialists often disagree on the final diagnosis on biopsy tissue due to the complex morphological variety. Although convolutional neural networks (CNN) have advantages in extracting discriminative features in image classification, directly training a CNN on high resolution histology images is

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https://doi.org/10.1007/978-3-662-47801-1e consuming, and subjective task which could be aided by automatic cancer detection. We propose an algorithm for automatic cancer detection within WSI H&E stains using a multi class colon tissue classifier based on features extracted from 5 different color representations. Approx. 32000 tissue patch