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Identifying regions of interest in whole slide images of renal cell carcinoma |
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| Mohammed Lamine Benomar, Nesma Settouti, Eric Debreuve, Xavier Descombes, Damien Ambrosetti |
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Artificial intelligence in urological oncology: An update and future applications |
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| Andrew Brodie, Nick Dai, Jeremy Yuen-Chun Teoh, Karel Decaestecker, Prokar Dasgupta, Nikhil Vasdev |
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| Urologic Oncology: Seminars and Original Investigations. 2021; 39(7): 379 |
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Development and evaluation of a deep neural network for histologic classification of renal cell carcinoma on biopsy and surgical resection slides |
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| Mengdan Zhu, Bing Ren, Ryland Richards, Matthew Suriawinata, Naofumi Tomita, Saeed Hassanpour |
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Tumour Nuclear Morphometrics Predict Survival in Lung Adenocarcinoma |
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The Pathologist 2.0: An Update on Digital Pathology in Veterinary Medicine |
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| Michal Kruk,Jaroslaw Kurek,Stanislaw Osowski,Robert Koktysz,Bartosz Swiderski,Tomasz Markiewicz |
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The METINUS Plus method for nuclei quantification in tissue microarrays of breast cancer and axillary node tissue section |
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Objective detection of apoptosis in rat renal tissue sections using light microscopy and free image analysis software with subsequent machine learning |
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| Yijen L. Wu,Li Liu,Fang-Cheng Yeh,Bedda L. Rosario,Chien Ho |
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