Probing Skin Cancer Awareness: Insights in to Classification Approaches-Reference-Cited by-同舟云学术

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Probing Skin Cancer Awareness: Insights in to Classification Approaches

Published:2024-05-09 Issue: Volume:34 Page:1-6
ISSN:
Container-title:2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
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Author:

Bhargavi Maridu¹,Balakrishna Sivadi²

Affiliation:

1. Vignan’s Foundation for Science, Technology, and Research (Deemed to be University) Vadlamudi,Department of CSE,Guntur,AP,India

2. Vignan’s Foundation for Science, Technology, and Research (Deemed to be University) Vadlamudi,Department of ACSE,Guntur,AP,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10601631/10601667/10602014.pdf?arnumber=10602014

Reference18 articles.

1. Dermatologist-level classification of skin cancer with deep neural networks

2. Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

3. Skin cancer segmentation with the aid of multi-class dilated D-net (MD2N) framework

4. A three-tier BERT based transformer framework for detecting and classifying skin cancer with HSCGS algorithm

5. Grid-Based Structural and Dimensional Skin Cancer Classification with Self-Featured Optimized Explainable Deep Convolutional Neural Networks

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