Devdiscourse

AI-powered flood mapping could transform disaster preparedness worldwide

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...
Hosted on MSN

First-ever black hole image sharpened using machine learning

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...
IEEE

Application of Machine Learning and Deep Learning in Medical Image Segmentation - an Example of Liver CT Images

Abstract: In the realm of modern medicine, the process of liver image segmentation holds immense significance in facilitating precise diagnoses of hepatic diseases. However, this procedure is ...
Frontiers

Traditional machine learning in biomedical image analysis: before you go too deep

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

Image Segmentation for MR Brain Tumor Detection Using Machine Learning: A Review

Abstract: Magnetic Resonance Imaging (MRI) has commonly been used to detect and diagnose brain disease and monitor treatment as non-invasive imaging technology. MRI produces three-dimensional images ...
C&EN

Machine-Learning-Based Automated Schlemm’s Canal Volumetric Segmentation for Optical Coherence Tomography

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Numerous challenges, including the variable anatomy of SC, ...
Frontiers

Machine learning-assisted tongue image analysis for the diagnosis of Hashimoto’s thyroiditis

Tongue images and related clinical data were retrospectively collected from 120 HT patients (60 each from the euthyroid group and the hypothyroidism group), and the tongue region was segmented by ...