Nature

Deep learning-driven automated mitochondrial segmentation for analysis of complex transmission electron microscopy images

Mitochondria are central to cellular energy production and regulation, with their morphology tightly linked to functional performance. Precise analysis of mitochondrial ultrastructure is crucial for ...
Nature

A deep learning model based on Mamba for automatic segmentation in cervical cancer brachytherapy

This study developed and evaluated an automatic segmentation model based on the Mamba framework (AM-UNet) for rapid and precise delineation of high-risk clinical target volume (HRCTV) and organs at ...
Medscape

New Deep Learning Model Parcellates Brain Using Only dMRI

A novel hierarchical deep learning framework enables direct Desikan-Killiany brain parcellation using only diffusion ...
Medical Device and Diagnostic Industry (MD+DI)

The AI Era: How Deep Learning is Overcoming Data Scarcity in Medical Imaging

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
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 ...