Employing Deep Learning Feature Extraction Models with Learning Classifiers to Diagnose Breast Cancer in Medical Images
Siddharth Gupta, Avnish Panwar, Rishika Yadav, Manisha Aeri, Manika Manwal · 2022 IEEE Delhi Section Conference (DELCON) · 2022
Breast cancer became one of the most frequent cancers among women worldwide, accounting for the majority of deaths. The only method to stop breast cancer from spreading is to get a timely diagnosis and treatment. However, due to the uncertainties in the mammography technique, cancer detection is a difficult process. Pre-trained Convolutional Neural Network (CNN) models and Machine Learning (ML) classifiers can be used to provide a tool for doctors to utilize in the early identification and diagnosis of breast cancer. These methods improve the patient's chances of survival. In this research, four distinct CNN pre-trained models are compared: VGG16, VGG19, Inception v3, SqueezeNet along with various classifiers. The findings of the study provide an overview of current breast cancer diagnostic approaches.