SYSTEM AND METHOD FOR COMPUTER AIDED DIAGNOSIS OF MAMMOGRAMS USING MULTI-VIEW AND MULTI-SCALE INFORMATION FUSION

SYSTEM AND METHOD FOR COMPUTER AIDED DIAGNOSIS OF MAMMOGRAMS USING MULTI-VIEW AND MULTI-SCALE INFORMATION FUSION

A system and method for processing mammographic images of target breast tissue is provided. The mammographic images are processed to generate modified images. A deep learning algorithm, having a tailored Convolutional Neural Networks (CNN) model, is applied to the modified images to generate a first...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Chen, Daniel Q, Boot, Thomas, Yu, Yang, Irshad, Humayun, Shirvalkar, Aditya
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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Beschreibung
Zusammenfassung:A system and method for processing mammographic images of target breast tissue is provided. The mammographic images are processed to generate modified images. A deep learning algorithm, having a tailored Convolutional Neural Networks (CNN) model, is applied to the modified images to generate a first output and a second output. Global features associated with the entirety of the mammographic images are extracted by using the first output. Local features associated with Regions of Interest (ROIs) of the mammographic images are extracted by using the second output. The global features and the local features are combined and fuse to generate an indicator representative of likelihood of malignancy of the target breast tissue.