aTaub Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel bFaculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Haifa, Israel ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

Abstract: Skin cancer is well known medical issue and early detection dramatically improves the outcome of treatment. Traditional diagnosis depends on dermatologists ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

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

The Satellite Precipitation Retrieval (SatRain) benchmark dataset developed by the International Precipitation Working Group (IPWG) is a benchmark dataset for machine-learning-based satellite ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

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.