A Deep Neural Network Approach to Detect and Classify Skin Cancer
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2022, Vol 10, Issue 6
Abstract
Among all cancers, skin cancer is one of the serious disease which effects major population across the globe. If the detection and diagnosis would not happen in early stages it can be spread to other body parts rapidly from sunlight because the tissues and skin cells get effected when exposed to sunlight. Although there are many systems available with the medical industry but this research is proposed to improve the performance of existing system by employing deep learning feature of Artificial Intelligence (AI) using Convolution Neural Networks (CNN), where Convolution Neural Networks (CNN) has been implemented using 3x3 and 5x5 matrix along with Graphical User Interface (GUI) generation so to provide better user experience (UX). This research accomplished the desired parameters with values to achieve 80.55% accuracy and 0.63% loss while training and testing the model. The research has been supported with the datasets from kaggle and International Symposium on Biomedical Imaging (ISBI) 2019 contest collection with 6,594 RGB photos. The data set contains nine clinical types skin cancer, such as actinic keratosis, basal cell carcinoma, benign keratosis, dermatofibroma, melanoma, nevus, seborrheic keratosis, squamous cell carcinoma, vascular lesions. The performance of the proposed research has been correlated and compared with the existing techniques i.e. Visual Geometry Group 16 (VGG16) and VGG19.
Authors and Affiliations
Aurooj Farooq Jeelani, Dr. Monika Mehra, and Ravinder Pal Singh
Keywords
Related Articles
- EP ID EP746016
- DOI 10.55524/ijircst.2022.10.6.16
- Views 1
- Downloads 0
Effective Stochastic Decoding Method for Electronic Medical In-formation Sharing
Several IoT solutions have emerged as a result of the industry's massive expansion. E-health has the potential to provide high-quality, accessible treatment. ' It's a challenge to keep the user 's private medical file sa...
Machine Learning Prospects: Insights for Social Media Data Mining and Analytics
Social network has increased surprising consideration in the most recent decade .Social network deals with enormous volume of composite as well as unstructured data and they are very hard to handle. Due to expanding dime...
Optimization Techniques for Fuzzy-PID Control of CSC-Based D-STATCOM for Power Quality Improvement
This study focuses on enhancing power quality using a Current Source Converter (CSC) based Dynamic Voltage Restorer (D-STATCOM) controlled by a Fuzzy Logic-PID (Fuzzy-PID) controller. Power quality improvement is a vital...
A Hybrid Approach for Optimized Resource Allocation in a Deployed 4G Long Term Evolution (LTE) Network
A 4G system is expected to provide an all-inclusive and secure all-IP based mobile broadband solution to laptop, wireless modems, computer, smart phones, and other mobile devices. Although many studies were conducted in...
Securing the Skies- A Critical Analysis of Cloud Infrastructure Vulnerabilities
Cloud computing offers storage, infrastructure, computing, networking, databases, platform, software, and analytics services over the Internet. It provides numerous benefits including scalability, cost management, broad...