Nature

Bladder Cancer Segmentation Using Deep Learning Techniques

Bladder cancer segmentation using deep learning techniques has emerged as a pivotal area of research that seeks to improve the early detection, diagnosis and treatment planning of bladder malignancies ...

Deep learning techniques can enhance diagnosis of Meniere disease

Deep learning techniques can enhance diagnosis of Meniere disease (MD) and severity grading, according to a study published ...
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 ...
insideHPC

Arterys Continues to Apply Deep Learning to Transform Medical Imaging

Arterys Inc., a privately-held company dedicated to deep learning medical imaging technology, continues to advance improved imaging capabilities bringing artificial intelligence called deep learning ...
News Medical

Using Deep Learning for Brain Imaging Data Analysis

Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...
EurekAlert!

Medical image segmentation using multi-head self-attention-based residual double u-net

The MHSAttResDU-Net incorporates RCC for complexity control and improved generalization under varying lighting. The SSRP unit in encoder-decoder blocks reduces feature map dimensions, capturing key ...
News Medical

AI and deep learning transform diagnosis of oral potentially malignant disorders

Oral cancer remains a serious global health concern due to its high morbidity and mortality rates, primarily caused by late-stage diagnosis. The presence of oral potentially malignant disorders (OPMDs ...