Case Western Reserve University

The Cleveland Clinic Foundation

The United States Government As Represented by the Department of Veterans Affairs

Yijiang Chen

Anant Madabhushi

Nathaniel Braman

Andrew Janowczyk

Laura Barisoni

John Sedor

Catherine Jayapandian

Tristan Maidment

Embodiments discussed herein facilitate determination of whether lesions are benign or malignant. One example embodiment is a method, comprising: accessing medical imaging scan(s) that are each associated with distinct angle(s) and each comprise a segmented region of interest (ROI) of that medical imaging scan comprising a lesion associated with a first region and a second region; providing the first region(s) of the medical imaging scan(s) to trained first deep learning (DL) model(s) of an ensemble and the second region(s) of the medical imaging scan(s) to trained second DL model(s) of the ensemble; and receiving, from the ensemble of DL models, an indication of whether the lesion is a benign architectural distortion (AD) or a malignant AD.

Specialized computer-aided diagnosis and disease characterization with a multi-focal ensemble of convolutional neural networks

Embodiments discussed herein facilitate segmentation of histological primitives from stained histology of renal biopsies via deep learning and/or training deep learning model(s) to perform such segmentation. One example embodiment is configured to access a first histological image of a renal biopsy comprising a first type of histological primitives, wherein the first histological image is stained with a first type of stain; provide the first histological image to a first deep learning model trained based on the first type of histological primitive and the first type of stain; and receive a first output image from the first deep learning model, wherein the first type of histological primitives is segmented in the first output image.

Deep learning-based multi-site, multi-primitive segmentation for nephropathology using renal biopsy whole slide images

Growing community of inventors

Cleveland, OH, United States of America

Yijiang Chen