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Laboratory Investigation; a Journal of Technical Methods and Pathology|October 2, 2019
Machine-based detection and classification for bone marrow aspirate differential counts: initial development focusing on nonneoplastic cellsRamraj Chandradevan, Ahmed A Aljudi, Bradley R Drumheller, et al.
Cancer Research|November 3, 2017
The Digital Slide Archive: A Software Platform for Management, Integration, and Analysis of Histology for Cancer ResearchDavid A Gutman, Mohammed Khalilia, Sanghoon Lee, et al.
Annals of Surgery|January 1, 1997
Bilateral adrenalectomy for Cushing's syndrome. Anterior versus posterior surgical approachJ F Buell, H R Alexander, J A Norton, et al.
Gaoxiong Yi Xue Ke Xue Za Zhi = the Kaohsiung Journal of Medical Sciences|January 1, 1994
A retrospective study of DNA ploidy of transitional cell carcinoma of urinary bladder using flow cytometryS T Pan, L P Chan, K C Yu, et al.
Journal of Environmental Science and Health. Part A, Toxic/Hazardous Substances & Environmental Engineering|May 31, 2001
Multivariate correlations of geochemical binding phases of heavy metals in contaminated river sedimentK C Yu, L J Tsai, S H Chen, et al.
Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|January 7, 2024
Tissue Contamination Challenges the Credibility of Machine Learning Models in Real World Digital PathologyIsmail Irmakci, Ramin Nateghi, Rujoi Zhou, et al.
Journal of the American Medical Informatics Association : JAMIA|July 30, 2013
Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology dataDavid A Gutman, Jake Cobb, Dhananjaya Somanna, et al.
Scientific Reports|November 8, 2017
Interactive phenotyping of large-scale histology imaging data with HistomicsMLMichael Nalisnik, Mohamed Amgad, Sanghoon Lee, et al.
The Journal of Biological Chemistry|May 13, 1999
Cloning of a unique lipase from endothelial cells extends the lipase gene familyK Hirata, H L Dichek, J A Cioffi, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 14, 2018
Predicting cancer outcomes from histology and genomics using convolutional networksPooya Mobadersany, Safoora Yousefi, Mohamed Amgad, et al.
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