Memorial Sloan Kettering Cancer Center

The Rockefeller University

David Joon Ho

Thomas Fuchs

Yaoxing Huang

Ruijiang Song

Craig Stuart Pace

Qing Fang

Described herein are Deep Multi-Magnification Networks (DMMNs). The multi-class tissue segmentation architecture processes a set of patches from multiple magnifications to make more accurate predictions. For the supervised training, partial annotations may be used to reduce the burden of annotators. The segmentation architecture with multi-encoder, multi-decoder, and multi-concatenation outperforms other segmentation architectures on breast datasets, and can be used to facilitate pathologists' assessments of breast cancer in margin specimens.

Deep multi-magnification networks for multi-class image segmentation

Described herein are systems and methods of training models to segment images. A device may identify a training dataset. The training dataset may include images each having a region of interest. The training dataset may include first annotations. The device may train, using the training dataset, an image segmentation model having parameters to generate a corresponding first segmented images. The device may provide the first segmented images for presentation on a user interface to obtain feedback. The device may receive, via the user interface, a feedback dataset including second annotations for at least a subset of the first segmented images. Each of the second annotations may label at least a second portion of the region of interest in a corresponding image of the subset. The device may retrain, using the feedback dataset received via the user interface, the image segmentation model.

Deep interactive learning for image segmentation models

Disclosed herein are fusion antibodies created to provide both an antigen-binding site that targets the CD4 receptor and an antigen-binding site that targets the HIV envelope. The fusion antibodies disclosed herein provide improved potency and breadth against HIV as compared to monospecific antibodies, and additionally provide high barrier against viral resistance. Also disclosed are pharmaceutical formulations and therapeutic methods utilizing such fusion proteins.

Growing community of inventors

New York, NY, United States of America

David Joon Ho