Skin Cancer Detection using CNN Algorithm

Roopa Sri Paladugu,Anusha Immadisetty,M Ramesh

doi:10.35940/ijeat.e1079.089620

Abstract

The project “Disease Prediction Model” focuses on predicting the type of skin cancer. It deals with constructing a Convolutional Neural Network(CNN) sequential model in order to find the type of a skin cancer which takes a huge troll on mankind well-being. Since development of programmed methods increases the accuracy at high scale for identifying the type of skin cancer, we use Convolutional Neural Network, CNN algorithm in order to build our model . For this we make use of a sequential model. The data set that we have considered for this project is collected from NCBI, which is well known as HAM10000 dataset, it consists of massive amounts of information regarding several dermatoscopic images of most trivial pigmented lesions of skin which are collected from different sufferers. Once the dataset is collected, cleaned, it is split into training and testing data sets. We used CNN to build our model and using the training data we trained the model , later using the testing data we tested the model. Once the model is implemented over the testing data, plots are made in order to analyze the relation between the echos and loss function. It is also used to analyse accuracy and echos for both training and testing data.

Highlights

There are three important sorts of skin diseases appearing in the human frame, which includes viral skin diseases, fungal skin illnesses, and allergic pores and skin
Step 4: Randomize the image values and take features and label from it in separate variables Step 5: Normalize the labels which converts non-numerical labels to numerical labels Step 6: split the data into training and testing data Step 7: Build the model which used for prediction of disease, here it is Convolutional Neural Networks Step 8: Use the training data for fitting the model and use testing data for prediction of disease, finding accuracy Step 9: Plot the graphs for accuracy and loss functions in order to analyse differences for both testing and training data
The main purpose of this project is to identify the type of skin cancer

Summary

Introduction

Dermis, and subcutaneous tissues, skin is the largest organ of the human body, containing blood vessels, lymphatic vessels, nerves, and muscle groups, that can perspire, understand the outside temperature, and shield the body. overlaying the entire body, the skin can guard a couple of tissues and organs within the body from external breach such as artificial skin harm, chemical damage, adventitious viruses, and people’ immune machine. It's miles of wonderful theoretical significance and realistic fee to examine how to extract signs and symptoms of divergent pores and skin diseases on the premise of modern-day technology and era. This circumstance, powerful and accurate identity of the sorts of skin illnesses can be accomplished to decide remedies in keeping with sufferers’ signs. Roopa Sri Paladugu, final year student pursuing B.Tech in the stream of Information Technology in Velagapudi Ramakrishna Siddhartha Engineering College. Anusha Immadisetty, final year student pursuing B.Tech in the stream of Information Technology in Velagapudi Ramakrishna Siddhartha Engineering College.

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