An Integrated Design for Classification and Localization of Diabetic Foot Ulcer Based on CNN and YOLOv2-DFU Models

An Integrated Design for Classification and Localization of Diabetic Foot Ulcer Based on CNN and YOLOv2-DFU Models

<p dir="ltr">Diabetes is a chronic disease, if not treated in time may lead to many complications including diabetic foot ulcers (DFU). DFU is a dangerous disease, it needs regular treatment otherwise it may lead towards foot amputation. The DFU is classified into two categories such...

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Bibliographic Details
Main Author: Javaria Amin (14557730) (author)
Other Authors: Muhammad Sharif (7039565) (author), Muhammad Almas Anjum (17012971) (author), Habib Ullah Khan (15862361) (author), Muhammad Sheraz Arshad Malik (17012993) (author), Seifedine Kadry (8713629) (author)
Published: 2020
Subjects:
Information and computing sciences
Computer vision and multimedia computation
Data management and data science
Machine learning
Foot
Diabetes
Feature extraction
Computational modeling
Training
Image segmentation
YOLOv2-DFU
Convolutional
Batch-normalization
Shuffle net
ReLU
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