Real-Time Web Application to Classify Diabetic Foot Ulcer-Reference-Cited by-同舟云学术

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Real-Time Web Application to Classify Diabetic Foot Ulcer

Published:2023-07-06 Issue: Volume: Page:
ISSN:
Container-title:2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
language:
Short-container-title:

Author:

Nandi Souhrid¹,Anurag Apoorva²,Mayya Veena²,Jeganathan Jayakumar³

Affiliation:

1. Manipal Academy of Higher Education,Manipal Institute of Technology,Department of Computer Science & Engineering Technology,Manipal,Karnataka,India

2. Manipal Academy of Higher Education,Manipal Institute of Technology,Department of Information & Communication Technology,Manipal,Karnataka,India

3. Manipal Academy of Higher Education,Kasturba Medical College,Dept. of Medicine,Mangalore,Karnataka,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10306338/10306339/10307906.pdf?arnumber=10307906

Reference29 articles.

1. COVIDDX: AI-based Clinical Decision Support System for Learning COVID-19 Disease Representations from Multimodal Patient Data

2. Multi-Scale Convolutional Neural Network for Accurate Corneal Segmentation in Early Detection of Fungal Keratitis

3. Explainable Deep Neural Models for COVID-19 Prediction from Chest X-Rays with Region of Interest Visualization

4. MSDNet: a deep neural ensemble model for abnormality detection and classification of plain radiographs

5. An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images

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