Method and System for Classification and Visualisation of 3D Images

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United States of America Patent

APP PUB NO 20220157048A1
SERIAL NO

17428955

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Abstract

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A computer-aided diagnosis (CAD) system for classification and visualisation of a 3D medical image comprises a classification component comprising a 2D convolutional neural network (CNN) that is configured to generate a prediction of one or more classes for 2D slices of the 3D medical image. The system also comprises a visualisation component that is configured to: determine, for a target class of said one or more classes, which slices belong to the target class; for each identified slice, determine, by back-propagation to an intermediate layer of the CNN, a contribution of each pixel of the identified slice to classification of the identified slice as belonging to the target class; and generate a heatmap that provides a visual indication of the contributions of respective pixels.

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Patent Owner(s)

Patent OwnerAddress
SINGAPORE HEALTH SERV PTE LTD10 HOSPITAL BOULEVARD #19-01 OUTRAM COMMUNITY HOSPITAL SINGAPORE 168582 168582

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Cheng, Ching-Yu Singapore, SG 7 69
Cheung, Chui Ming Gemmy Singapore, SG 1 2
Goh, Rick Siow Mong Singapore, SG 1 2
Li, Shaohua Singapore, SG 192 1317
Liu, Yong Singapore, SG 1235 24302
Tan, Gavin Siew Wei Singapore, SG 1 2
Ting, Daniel Shu Wei Singapore, SG 1 2
Wong, Tien Yin Singapore, SG 19 197

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