Efficient Models for Detecting Monkeypox using Skin Lesion Images-Reference-Cited by-同舟云学术

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Efficient Models for Detecting Monkeypox using Skin Lesion Images

Published:2023-12-21 Issue: Volume:V6 Page:1480-1487
ISSN:
Container-title:2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)
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Author:

Sunda Neelam¹,Sharma Divya¹,Battu Sujith²,Banoth Rewanth Nayak³,Rahul ⁴,Monika ⁵

Affiliation:

1. Kanoria PG Mahila Mahavidyalaya,Department of Computer Science,Jaipur,India

2. Dept. of Software Engineering,Delhi Technological University,New Delhi, India

3. Delhi Technological University,Dept. of Software Engineering,New Delhi,India

4. Delhi Technological University,Department of Applied Physics,New Delhi,India

5. University of Delhi,Shaheed Rajguru College of Applied Sciences for Women,Department of Computer Science

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424966/10425793/10426230.pdf?arnumber=10426230

Reference21 articles.

1. Automatic segmentation of organs at risk and tumors in CT images of lung cancer from partially labelled datasets with a semi-supervised conditional nnU-Net

2. Analyzing Lung Disease Using Highly Effective Deep Learning Techniques

3. Detection of Covid-19 in Chest X-ray Image using CLAHE and Convolutional Neural Network

4. Deep transfer with minority data augmentation for imbalanced breast cancer dataset

5. Computer-Aided Detection and Classification of Monkeypox and Chickenpox Lesion in Human Subjects Using Deep Learning Framework

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