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Machine Learning Methods and Software for Quality Control of Digital Pathology Microanatomic Segmentation

This system is based on dividing the image into patch level texture features which are then the basis of the quality assessment Background: Segmentation of nuclei in whole slide images is a common methodology in pathology image analysis. A variety of anatomical segmentation methods have been developed to detect the location of nuclei and other cellular...
Published: 6/5/2023   |   Inventor(s): Joel Haskin Saltz, Tahsin Kurc, Yi Gao, Wei Zhu, Si Wen, Tianhao Zhao, Sampurna Shrestha
Keywords(s):  
Category(s): Campus > Stony Brook University, Technology Classifications > Computer Software, Technology Classifications > Healthcare IT, Technology Classifications > Information Technology, Technology Classifications > Medical Imaging

Identifying and Quantifying Tumor Infiltrating Lymphocytes in Standard Pathology Images Using AI

This AI-derived TIL mapping provides a reproducible and robust tool for the assessment of lymphocytic infiltrates Background: Human review of diagnostic tissue is qualitative, and is therefore prone to high amounts of inter- and intra‑observer variability. Digital pathology, or the review of digitized pathology slides is gaining traction, precisely...
Published: 3/16/2023   |   Inventor(s): Joel Haskin Saltz, Tahsin Kurc, Rajarsi Gupta, Tianhao Zhao, Rebecca Batiste, Le Hou, Vu Nguyen, Dimitrios Samaras, Ashish Sharma, Vesteinn Thorsson, Ilya Shmulevich, Arvind Rao, Pankaj Singh, Alexander Lazar, John Van Arnam
Keywords(s):  
Category(s): Campus > Stony Brook University, Technology Classifications > Computer Software, Technology Classifications > Healthcare IT, Technology Classifications > Medical Imaging

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