Cervical Neoplasia Detection Using ML Internship

About Internship

Assistant Professor, Department of Cse, from The ICFAI University, Ranchi, is accepting interns interested in the field of Computer Science Engineering, in the research area of Artificial intelligence and Machine learning.

Due to restricted access to reasonably priced diagnostics and specialized care, cervical cancer is one of the main causes of death for women, with the majority of deaths taking place in low-resource settings. A low-cost, multiscale in vivo optical imaging system that combines portable colposcopy and high-resolution endomicroscopy (HRME) and is backed by a multiscale imaging fusion network (MSFN) for real-time detection of high-grade cervical intraepithelial neoplasia (CIN 2+) will be used in this study to address these issues. Furthermore, to improve the early diagnosis of cervical dysplasia, a multi-modal contrastive learning framework will be used, that integrates textual data and colposcopic images utilizing sophisticated deep learning methods, such as CNN-based Variational Autoencoders (VAE).