aDepartment of Radiodiagnosis, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India bDepartment of Clinical Hematology and Medical Oncology, Postgraduate Institute of ...

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...

This project leverages artificial intelligence to address ethical and privacy concerns in healthcare by generating synthetic brain cancer images. The goal is to create a synthetic dataset that closely ...

The Comprehensive Lung Cancer Imaging Dataset (CLID) is a curated collection of medical images designed to facilitate the research and development of machine learning models for lung cancer analysis.

Abstract: The purpose of this paper is to study of how machine learning algorithms, artificial intelligence, semantic segmentation and fine recognition can be used to enhance computer vision in order ...

Abstract: Breast cancer is still a major global health issue, and early detection is important for better patient outcomes. This research discusses the use of machine learning algorithms for ...

Extremely aggressive prostate cancer, including subtypes like small cell carcinoma and neuroendocrine carcinoma, is associated with poor prognosis and limited treatment options. This study sought to ...

After Michigan Medicine’s research on the Edison machine to treat liver cancer was proven effective last September, the tool is now in the hands of physicians to use. The Edison machine uses ...

Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care This study aims to investigate the impact of ...