IEEE

Intelligent Cancer Detection System

Abstract: Histopathology and MRI produce different types of images and a single procedure to detect cancerous cells from both of them is considered tedious and time-consuming. Therefore, this study ...
Frontiers

Automated predictive framework using AI and deep learning approaches for early detection and classification of liver cancer

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...
IEEE

Implementation and Performance Evaluation of Improved Hybrid Deep Learning Approach for Anomaly Detection and Classification in Lung CT Images

Abstract: The goal of this study is to create and test improved enhanced deep learning approaches for anomaly detection and classification in CT images, specifically lung cancer images. The Improved ...
The Lancet

A radiomics-based decision support tool improves lung cancer diagnosis in combination with the Herder score in large lung nodules

cDepartment of Respiratory Medicine, Charing Cross Hospital, Imperial College Healthcare Trust, Fulham Palace Road, London, W6 8RF, UK dDepartment of Respiratory Medicine, University College London ...