(3.239.56.184)
Users online: 2068    [ij] [ij] [ij] 
Email id
 

Research Journal of Pharmacy and Technology
Year : 2020, Volume : 13, Issue : 3
First page : ( 1248) Last page : ( 1252)
Print ISSN : 0974-3618. Online ISSN : 0974-360X.
Article DOI : 10.5958/0974-360X.2020.00230.9

Malevolent Melanoma diagnosis using Deep Convolution Neural Network

Karthiga M.*, Priyadarshini R.K., Banu A Bazila

Dept. of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Tamilnadu, India

*Corresponding Author E-mail: karthigam@bitsathy.ac.in

Online published on 22 April, 2020.

Abstract

Computer based analysis has become a most important part in medical industry nowadays. Skin cancer has become a most dreadful disorders and it is can be diagnosed using computer based technique. Dermoscopy images can be used for training the classifier for correct prediction of melanoma. A novel methodology based on deep convolution neural network is utilized for absolute diagnosis of malevolent melanoma. Transfer learning technique is employed along with deep convolution neural network based Inception v3 framework. The outcomes are obtained by utilizing the proposed methodology with a total of 2700 dermoscopic images. Maximum rate of accuracy, sensitivity and specificity are obtained from the proposed implementation. The proposed results outperform the results for classification of skin lesions by dermatologists.

Top

Keywords

Deep Convolution Neural Network, Transfer Learning, Inception v3, melanoma, squamous carcinoma.

Top

  
║ Site map ║ Privacy Policy ║ Copyright ║ Terms & Conditions ║ Page Rank Tool
489,710,259 visitor(s) since 30th May, 2005.
All rights reserved. Site designed and maintained by DIVA ENTERPRISES PVT. LTD..
Note: Please use Internet Explorer (6.0 or above). Some functionalities may not work in other browsers.