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Lars Egevad

Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden

Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence Assisted Cancer Diagnosis

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Jul 07, 2023
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Using deep learning to detect patients at risk for prostate cancer despite benign biopsies

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Jul 31, 2021
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Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression based convolutional neural networks

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Apr 19, 2021
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Detection of Perineural Invasion in Prostate Needle Biopsies with Deep Neural Networks

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Apr 03, 2020
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Pathologist-Level Grading of Prostate Biopsies with Artificial Intelligence

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Jul 02, 2019
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