International Business Machines Corporation

Ramot at Tel-aviv University Ltd.

Bar-ilan University

Tel Hashomer Medical Research Infrastructure and Services Ltd.

Varonis Inc.

Jacob Goldberger

Yakov Faitelson

Ohad Korkus

Rami Ben-Ari

Eli Konen

Hayit Greenspan

Ran Bakalo

Uri Avni

Michal Sharon

Embodiments may classify medical images, such as mammograms, using weakly labeled data sets, fully labeled data sets, or a combination of both. For example, a method may comprise receiving a whole medical image, extracting a plurality of image patches from the whole medical image, each image patch including a portion of the whole image, generating a representation of features found in the plurality of image patches, classifying each image patch as including a malignant abnormality, a benign abnormality or not including an abnormality to form a classification for each patch, in parallel, the detection branch computes a malignant distribution over patches and a benign distribution over patches resulting in ranking of patches compare to one another for malignancy, and ranking of patches compare to one another for benign. Patches classification probabilities and ranking are multiplied and summed for malignant and benign, resulting in global malignant probability and global benign probability.

Weakly and fully labeled mammogram classification and localization with a dual branch deep neural network

A method of generating a category model for classifying medical images. The method comprises providing a plurality of medical images each categorized as one of a plurality of categorized groups, generating an index of a plurality of visual words according to a distribution of a plurality of local descriptors in each the image, modeling a category model mapping a relation between each visual word and at least one of the categorized groups according to the index, and outputting the category model for facilitating the categorization of an image based on local descriptors thereof.

Method and system of classifying medical images

Methods and systems are provided for defining and creating an automatic file security policy and a semi-automatic method of managing file access control in organizations with multiple diverse access control models and multiple diverse file server protocols. The system monitors access to storage elements within the network. The recorded data traffic is analyzed to assess simultaneous data access groupings and user groupings, which reflect the actual organizational structure. The learned structure is then transformed into a dynamic file security policy, which is constantly adapted to organizational changes over time. The system provides a decision assistance interface for interactive management of the file access control and for tracking abnormal user behavior.

Automatic management of storage access control

Growing community of inventors

Tel Aviv, Israel

Jacob Goldberger