Identification and Classification of Diabetic Foot Ulcers by Deep Neural Networks: A Comparative Study-Reference-Cited by-同舟云学术

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Identification and Classification of Diabetic Foot Ulcers by Deep Neural Networks: A Comparative Study

Published:2022-07-22 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )
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Author:

Nakka Suma Sailaja¹,Chakraborty Basabi²,Sanada Takahisa¹,Wang Weilun²,Chakraborty Goutam²

Affiliation:

1. Iwate Prefectural University,Dept. Software and Information Science,Takizawa,Japan

2. Iwate Prefectural University,Research and Regional Cooperation Division,Takizawa,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9983535/9983517/09983553.pdf?arnumber=9983553

Reference11 articles.

1. Deep Residual Learning for Image Recognition

2. Diabetic Retinopathy Detection Using VGG-NIN a Deep Learning Architecture

3. EfficientNet: Rethinking model scaling for convolutional neural networks;tan;36th Int Conf Mach Learn ICML 2019,2019

4. Recognition of ischaemia and infection in diabetic foot ulcers: Dataset and techniques

5. Deep learning in diabetic foot ulcers detection: A comprehensive evaluation

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1. MED-LENS — Al-based tool for preliminary diagnosis of Dermatological manifestations;2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS);2023-12-14

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