Comparing AI anatomy segmentation models when ground truth is missing

As large medical imaging datasets become widely available, researchers are increasingly turning to artificial intelligence to ...
ascopubs.org

Transforming liver tumor segmentation: A comprehensive meta-analysis of deep learning approaches.

Use of an artificial intelligence model to predict Ki67 from H&E-stained whole slides images in breast cancer. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...

Baseline MRI lets AI predict Alzheimer's progression without cognitive testing

Millions of people are diagnosed with Alzheimer's disease each year, comprising 60% to 70% of dementia cases worldwide. While ...
SiliconANGLE

Meta’s new image segmentation models can identify objects and people and reconstruct them in 3D

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...
Analytics Insight

Deep Learning for Computer Vision, Stanford University

Stanford University’s Deep Learning for Computer Vision (XCS231N) is a 100% online, instructor-led course offered by the ...
EDN

AI-powered medical imaging: Turning data into faster diagnoses

Medical imaging has become one of the most critical pillars of modern healthcare to provide insights into diagnosis, treatment planning, and disease management. However, the very success of imaging ...
eWeek

Types of AI Models: A Deep Dive into AI Architecture

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...