Found 10 results
A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers. Cytometry A. 2017 ;..
Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem. Journal of Biomedical Informatics [Internet]. 2017 ;66:129 - 135. http://www.sciencedirect.com/science/article/pii/S1532046416301800.
An Image Analysis Resource for Cancer Research: PIIP—Pathology Image Informatics Platform for Visualization, Analysis, and Management. Cancer Research [Internet]. 2017 ;77(21):e83 - e86. http://cancerres.aacrjournals.org/content/77/21/e83.
AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments. Sci Rep. 2016 ;6:29906..
A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images. Neurocomputing. 2016 ;..
Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology. Annu Rev Biomed Eng. 2016 ;18:387-412..
Image analysis and machine learning in digital pathology: Challenges and opportunities. Med Image Anal. 2016 ;33:170-5..
Optimized SIFTFlow for registration of whole-mount histology to reference optical images. Journal of Medical Imaging [Internet]. 2016 ;3(4). http://medicalimaging.spiedigitallibrary.org/article.aspx?articleid=2571703.
Reconstruction of 3-dimensional histology volume and its application to study mouse mammary glands. J Vis Exp. 2014 ;(89):e51325..
High-throughput biomarker segmentation on ovarian cancer tissue microarrays via hierarchical normalized cuts. IEEE Trans Biomed Eng. 2012 ;59(5):1240-52..