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Fine-grained diabetic wound image analysis and automated classification system using deep learning

By: Gamage, H.V.L.CContributor(s): Dr. G.I.U.S. Perera [supervisor]Language: English Publisher: [2020]Description: xi, 60p. : col. charts, col. ill., tables, CD-ROM includedSubject(s): MSc in Computer Science | COMPUTER SCIENCE AND ENGINEERING-Dissertations | IMAGE ANALYSIS | CONVOLUTIONAL NEURAL NETWORKS | MASK-RCNN MODEL | DIABETIC FOOT ULCERS | DEEP LEARNINGOnline resources: Click here to access online Dissertation note: Department of Computer Science & Engineering Faculty of Engineering University of Moratuwa 2020
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Thesis Thesis Library, University of Moratuwa
The University of Moratuwa Library (UML) is one of the most prominent technology libraries in the country. Its main subject specializations are Engineering, Architecture and Information Technology. However, the library caters to the requirements of the membership by housing books and other materials of general interest as well.
Thesis Collection
004(043) (Browse shelf) DCS 05/119 LB/DON/40/2020 Not For Loan TH4169

M.Sc. in Computer Science and Engineering By Research

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Department of Computer Science & Engineering Faculty of Engineering University of Moratuwa 2020

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