EurekAlert!

BioCompNet: a deep learning workflow enabling automated body composition analysis toward precision management of cardiometabolic disorders

BioCompNet: a dual-channel deep learning framework for automated body composition analysis from fat-water MRI sequences. (A) Schematic of the dual-channel 2-dimensional (2D) U-Net architecture used to ...
Business Wire

MathWorks Expands Deep Learning Capabilities in Release 2018b of the MATLAB and Simulink Product Families

NATICK, Mass.--(BUSINESS WIRE)--MathWorks today introduced Release 2018b of MATLAB and Simulink. The release contains significant enhancements for deep learning, along with new capabilities and bug ...
EurekAlert!

Workflow for Real-Time Sludge Moisture Content Prediction Using Deep Learning. (IMAGE)

Workflow for Real-Time Sludge Moisture Content Prediction Using Deep Learning. This figure illustrates the workflow for predicting sludge moisture content using deep learning. The process begins with ...
Labroots

Stretching the Limits of Microscopy Imaging with Deep Learning

Balance between spatial resolution, temporal resolution, and sample viability is key to extracting more data from your imaging experiments. The right deep learning model can extend and complement your ...
ascopubs.org

Prognostic Significance of Tumor-Infiltrating Lymphocytes Determined Using LinkNet on Colorectal Cancer Pathology Images

Tumor-Naïve Circulating Tumor DNA as an Early Response Biomarker for Patients Treated With Immunotherapy in Early Phase Clinical Trials Our automated approach can serve as a useful tool for ...
TMCnet

GE HealthCare unveils Pristina Recon DL for mammography - deep learning image reconstruction technology delivering clearer image quality

GE HealthCare (Nasdaq: GEHC) announced today that it has received FDA Premarket Authorization for Pristina Recon DL, an advanced 3D mammography image reconstruction technology. Powered by deep ...