Smart Skin Cancer Diagnosis: Integrating SCA-RELM Method for Enhanced Accuracy-Reference-Cited by-同舟云学术

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Smart Skin Cancer Diagnosis: Integrating SCA-RELM Method for Enhanced Accuracy

Published:2024-03-01 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 3rd International Conference for Innovation in Technology (INOCON)
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Author:

M Subramanian¹,Taley Rashmi A²,Sampath V.³,Kartheeban K.⁴,Palanimuthu Kogila⁵,Acharjee Purnendu Bikash⁶

Affiliation:

1. Sri Sairam Engineering College,Department of Electronics and Instrumentation Engineering,Chennai,India

2. College of Engineering and Technology,Akola,Maharashtra,India

3. Sri Sankara Arts and Science College (Autonomous),Department of Biochemistry,Kanchipuram,India

4. Kalasalingam Academy of Research and Education,Department of CSE,Anandnagar, Krishnankoil,India

5. Institute of Health Sciences,Pediatric and Child Health Nursing,Dambi Dollo

6. CHRIST University,Bengaluru,Karnataka,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511271/10511093/10511420.pdf?arnumber=10511420

Reference25 articles.

1. A Comprehensive Joint Learning System to Detect Skin Cancer

2. Squeeze-MNet: Precise Skin Cancer Detection Model for Low Computing IoT Devices Using Transfer Learning

3. Skin Cancer Detection using Neutrosophic c-means and Fuzzy c-means Clustering Algorithms

4. Fuzzy Logic with Deep Learning for Detection of Skin Cancer;Singh;Early Writings on India,2018

5. An Effective Method for Skin Cancer Detection using Convolutional Kernel Extreme Learning Machine

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