AI TECHNIQUE USING IDENTIFICATION OF BRAIN TUMOR AND LUNG CANCER DISEASES
Author(s):
Nitesh Kharose, Siddhi Kenjale, Sakshi Madhale, Chitralekha Chopade, Dr.Mangesh Salunke
Keywords:
Brain Tumor , Lungs Cancer , Multi Disease Detection, Convolutional Neural Network, Neural Network, Deep Learning, Support Vector Machine
Abstract
Brain (tumors) is the cause of every sixth death around the world. This makes cancer a second leading cause of death. Globally 42 million people across the world suffer from cancer and this figure is continuously increasing. In India around 2.5 million people are suffering from different types of cancer. If detected in early stage, then with proper treatment it can be cured. This paper presents details of a few methods used for detection of diseases like brain tumor, liver cancer, lung cancer and Spine tumor. This paper also speaks about the different machine learning techniques used to classify the diseases into malignant & benign. Once disease is diagnosed we will recommend the hospital as well as precautions for that specific disease. In this paper, we will utilize AI calculations and profound realizing which can be used for health care diagnosis. In this paper we are proposed the disease identification using images of lung cancer and brain tumor. Accordingly we are recommending the precautions and hospital to the patient. In this paper we are detecting the disease by using convolutional neural network for classifying the disease and get 92.6% accuracy on 100 epochs. We are recommending the hospital by using support vector machine.
Article Details
Unique Paper ID: 154964

Publication Volume & Issue: Volume 8, Issue 12

Page(s): 789 - 793
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