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Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem.

, , , , , and . Journal of Biomedical Informatics, (2017)

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HistoStitcher©: An interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments., , , , and . Comp. Med. Imag. and Graph., 35 (7-8): 557-567 (2011)Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer., , , , and . BMC Bioinformatics, (2012)An Active Learning Based Classification Strategy for the Minority Class Problem: Application to Histopathology Annotation., , , , and . BMC Bioinformatics, (2011)A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology., , , , , , and . ISBI, page 125-128. IEEE, (2011)Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI., , , , , , , , , and 1 other author(s). ISBI, page 1227-1230. IEEE, (2009)Automated grading of breast cancer histopathology using spectral clusteringwith textural and architectural image features., , , , and . ISBI, page 496-499. IEEE, (2008)Automated gland and nuclei segmentation for grading of prostate and breast cancer histopathology., , , , , and . ISBI, page 284-287. IEEE, (2008)Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 796310. SPIE, (2011)Identifying in vivo DCE MRI parameters correlated with ex vivo quantitative microvessel architecture: A radiohistomorphometric approach., , , , , , , , and . Medical Imaging: Digital Pathology, volume 8676 of SPIE Proceedings, page 867604. SPIE, (2013)Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks., , , , , , , , and . Medical Imaging: Digital Pathology, volume 9041 of SPIE Proceedings, page 904103. SPIE, (2014)