Detection of Lung Cancer Using Deep Learning Model and Radiomics Method

The urgent demand for timely identification and treatment of lung cancer is propelling ongoing research towards harnessing the power of deep learning in conjunction with chest CT scans. Researchers are meticulously training models to identify lung characteristics indicative of cancer from carefully curated datasets. Their primary objective is to assist healthcare professionals in the timely detection of cancer utilizing deep neural networks, which encompass the critical task of tumor segmentation. Following segmentation, the identified tumor regions are subjected to radiomics analysis to extract relevant features. Our research is focused on the seamless integration of deep learning and radiomics methodologies for enhanced cancer detection and comprehensive extraction of tumor features. We are working towards deploying this solution as a userfriendly web application, aiming to provide medical practitioners with detailed reports on uploaded images, including comprehensive tumor feature analyses upon detection.