Frontiers

Network Models in Cancer: Advances in Systems-Level Insights and Precision Oncology

In the field of cancer research, understanding the intricate complexity of tumor biology remains a challenge. Cancer is driven by numerous molecular and ...
Frontiers

Machine learning approaches to predict hip fracture incidence: insights from the CHARLS dataset

Background: Hip fractures are a major health concern in the older adults, severely impacting patients’ quality of life and straining healthcare systems. With China’s aging population, their incidence ...
GitHub

IGN LiDAR HD Processing Library

A comprehensive Python library for processing French IGN LiDAR HD data into machine learning-ready datasets. Features include GPU acceleration, rich geometric features, RGB/NIR augmentation, and ...
IEEE

A Novel AI Framework for Breast Cancer Molecular Biomarker Response Score Detection on Cells Level Using Marker-Based Watershed Segmentation and Machine Learning Classifiers

Abstract: Breast cancer is a highly complex disease that requires precise molecular subtyping to guide tailored treatment strategies. In this study, we employed a marker-based watershed segmentation ...
IEEE

Lung Cancer Detection Using Multiple Machine Learning Algorithms

Abstract: Lung cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis. Early and accurate detection through medical imaging can ...