Invention Grant
- Patent Title: Generalizable medical image analysis using segmentation and classification neural networks
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Application No.: US16022170Application Date: 2018-06-28
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Publication No.: US10198832B2Publication Date: 2019-02-05
- Inventor: Jeffrey De Fauw , Joseph R. Ledsam , Bernardino Romera-Paredes , Stanislav Nikolov , Nenad Tomasev , Samuel Blackwell , Harry Askham , Xavier Glorot , Balaji Lakshminarayanan , Trevor Back , Mustafa Suleyman , Pearse A. Keane , Olaf Ronneberger , Julien Robert Michel Cornebise
- Applicant: DeepMind Technologies Limited
- Assignee: DeepMind Technologies Limited
- Current Assignee: DeepMind Technologies Limited
- Agency: Fish & Richardson P.C.
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06T11/00 ; G06T7/00

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a final classification output for an image of eye tissue. The image is provided as input to each of one or more segmentation neural networks to obtain one or more segmentation maps of the eye tissue in the image. A respective classification input is generated from each of the segmentation maps. For each of the segmentation maps, the classification input for the segmentation map is provided as input to each of one or more classification neural networks to obtain, for each segmentation map, a respective classification output from each classification neural network. A final classification output for the image is generated from the respective classification outputs for each of the segmentation maps.
Public/Granted literature
- US20190005684A1 GENERALIZABLE MEDICAL IMAGE ANALYSIS USING SEGMENTATION AND CLASSIFICATION NEURAL NETWORKS Public/Granted day:2019-01-03
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