Open AccessInvestigation of Different Deep Neural Networks for the Diagnostics of Brain Tumor, Skin Cancer and Breast Cancer
Author(s) -
Riya Nimje,
Shreya Paliwal,
Jahanvi Saraf,
Prof. Sachin Chavan
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.40932
Subject(s) - breast cancer , convolutional neural network , residual neural network , deep learning , cancer , skin cancer , artificial intelligence , disease , artificial neural network , computer science , medicine , machine learning , oncology
Early disease detection cannot be neglected in the healthcare domain and especially in the diseases where risk is associated with a life of a person. As per the WHO, if diseases can be predicted ahead of time, death rates can be reduced. The paper's goal is to investigate how to detect Breast Cancer, Skin Cancer, and Brain Tumor at the early stages with the help of Deep Learning techniques. The authors of different papers have used different techniques and Algorithms like Convolutional Neural Network (CNN) algorithms, Visual Geometry Group (VGG16) and Residual Network (ResNet). We tried to investigate these three algorithms and compared them to find out the most efficient amongst them for each disease. Keywords: Breast Cancer, Skin Cancer, Brain Tumor, Deep Learning, CNN, VGG and ResNet