A Concatenated Model with Deep Learning Technique for Skin Lesion Detection-Reference-Cited by-同舟云学术

A Concatenated Model with Deep Learning Technique for Skin Lesion Detection

Published:2021-10-22 Issue: Volume: Page:
ISSN:
Container-title:2021 5th International Conference on Information Systems and Computer Networks (ISCON)
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Author:

Das Abhishek¹,Mohapatra Saumendra Kumar²,Mohanty Mihir Narayan¹

Affiliation:

1. Siksha ‘O’ Anusandhan (Deemed to be University),Department of Electronics and Communication Engineering ITER,Bhubaneswar,India

2. Saveetha Institute of Medical and Technical Sciences Saveetha University,Department of Computer Science Engineering Saveetha School of Engineering,Chennai,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9702150/9702296/09702339.pdf?arnumber=9702339

Reference17 articles.

1. A new preprocessing approach to improve the performance of CNN-based skin lesion classification

2. Skin lesion classification from dermoscopic images using deep learning techniques;lopez;2017 13th IASTED International Conference on Biomedical Engineering (BioMed) BioMed,0

3. Melanoma Classification on Dermoscopy Images Using a Neural Network Ensemble Model

4. Hybrid dermoscopy image classification framework based on deep convolutional neural network and Fisher vector

5. A ConvNets toolbox for skin cancer classification;nunnari;ArXiv Preprint,2019

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