EurekAlert!

Non-contact detection of post-regurgitation deep inhalation in calves using infrared thermography and deep learning-based nostril segmentation

An Osaka Metropolitan University research team proposed a non-contact approach for characterizing post-regurgitation deep ...
EurekAlert!

A novel deep learning model for medical image segmentation with convolutional neural network and transformer

Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...
Hosted on MSN

AI is reshaping vessel wall imaging for stroke care

Deep learning is transforming magnetic resonance vessel wall imaging, making it faster, more accurate, and easier to deploy in stroke care. New AI frameworks can automatically segment and reconstruct ...
ascopubs.org

Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness Prediction

Development and Portability of a Text Mining Algorithm for Capturing Disease Progression in Electronic Health Records of Patients With Stage IV Non–Small Cell Lung Cancer Emerging evidence suggests ...
News Medical

Deep learning method enhances vessel and plaque segmentation in stroke diagnosis

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...
Cancer Therapy Advisor

Enhanced LDCT Lung Cancer Prediction Model Combines Clinical Data, Deep Learning

Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.
JSTOR Daily

Automated and accurate segmentation of leaf venation networks via deep learning

• Leaf vein network geometry can predict levels of resource transport, defence and mechanical support that operate at different spatial scales. However, it is challenging to quantify network ...