Your browser doesn't support javascript.
Multiclass Classification of Disease Using CNN and SVM of Medical Imaging
6th International Conference on Advances in Computing and Data Sciences, ICACDS 2022 ; 1614 CCIS:88-99, 2022.
Article in English | Scopus | ID: covidwho-2013954
ABSTRACT
This paper proposed a model that deals with automatic prediction of the disease given the medical imaging. While most of the existing models deals with predicting disease in one part of the body either brain, heart or lungs, this paper focuses on three different organs brain, chest, and knee for better understanding the real word challenge where problems do not include crisp classification but the multiclass classification. For simplicity this paper focuses on just determining whether that organ is affected with the disease or not and future work can be done by further expanding the model for multiple disease detection of that organ. We have used CNN for multiclass image classification to determine the input medical image is brain, chest or knee and then SVM is used for binary classification to determine whether that input image is detected with the disease or not. Three different datasets from Kaggle are used Brain Tumor MRI Dataset, COVID-19 Chest X-ray Image Dataset and Knee Osteoarthritis Dataset with KL Grading. Images from these datasets are used to make fourth datasets for training and testing the CNN for the prediction of the three different organs and after that output will be the input of respective SVM classifier based on the output result and predict the weather it is diagnostic with the disease or not. The proposed model can be employed as an effective and efficient method to detect different human diseases associated with different parts of the body without explicitly giving the input that it belongs to that part. For the transparency this model displays the accuracy of prediction made for the input image. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 6th International Conference on Advances in Computing and Data Sciences, ICACDS 2022 Year: 2022 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 6th International Conference on Advances in Computing and Data Sciences, ICACDS 2022 Year: 2022 Document Type: Article