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Medical Application of Geometric Deep Learning for the Diagnosis ...


Medical Application of Geometric Deep Learning for the Diagnosis ...

We provide a proof of principle for the application of geometric deep learning in glaucoma. Our technique requires significantly less information as input.

Medical Application of Geometric Deep Learning for the Diagnosis ...

We provide a proof-of-principle for the application of geometric deep learning in the field of glaucoma. Our technique requires significantly less information ...

Medical Application of Geometric Deep Learning for the Diagnosis ...

An ensemble framework based on Deep CNNs architecture for glaucoma classification using fundus photography. A. Rehman, I. A. Taj, M. Sajid, K.

Medical Application of Geometric Deep Learning for the Diagnosis ...

Mentioning: 5 - Purpose (1) To assess the performance of geometric deep learning in diagnosing glaucoma from a single optical coherence tomography (OCT) ...

Geometric Deep Learning to Identify the Critical 3D Structural ...

The diagnostic accuracy of both geometric deep learning approaches was excellent. Moreover, we were able to identify the critical 3D structural features of the ...

Medical Application of Geometric Deep Learning for the Diagnosis ...

Geometric deep learning (PointNet) was then used to provide a glaucoma diagnosis from a single OCT point cloud. The performance of our approach ...

What's On the Horizon: Precision Medicine, AI, and Geometric Deep ...

Discover how artificial intelligence (AI) and geometric deep learning could be used to develop precision medicine in ophthalmology for ...

How Geometric Deep Learning Might Just Revolutionize Medical ...

Advancing Cancer Diagnosis through Geometric Deep Learning Applied on Multidimensional Imaging Data ... This proposal outlines a research project ...

Geometric Deep Learning and Anatomical Landmarking for ...

This study develops a preclinical Alzheimer's disease screening method by applying geometric deep learning on hippocampal structures.

Deep Learning for Diagnosing Patients with Rare Genetic Diseases

This capability is achieved by projecting patient phenotypes in an embedding space whose geometry is optimized by the broader knowledge of phenotypes and genes.

Medical Application of Geometric Deep Learning for the Diagnosis ...

Medical Application of Geometric Deep Learning for the Diagnosis of Glaucoma. https://doi.org/10.1167/tvst.12.2.23 ·. Journal: Translational Vision Science ...

Researchers develop geometric deep learning model with potential ...

Researchers in Germany have developed a new deep learning model for detecting stroke lesions, claiming that—by leveraging rich geometric ...

Recent advances and clinical applications of deep learning in ...

Deep learning has received extensive research interest in developing new medical image processing algorithms, and deep learning based models have been ...

Zero-shot prediction of therapeutic use with geometric deep learning ...

To overcome the limitation of supervised deep learning in predicting therapeutic use for neglected diseases, TXGNN uses a metric learning module ...

Geometric deep learning for medical image processing problems

Medical image processing provides an expanding set of methods and applications to improve clinical diagnosis, decision-making, and treatment ...

Geometric Deep Learning for Healthcare Applications - VTechWorks

This thesis explores the application of Graph Neural Networks (GNNs), a subset of Geometric Deep Learning methods, for medical image ...

A Preliminary Study of Applying Geometric Deep Learning in Brain ...

3. Functional and Molecular Imaging Key Laboratory of Sichuan Province, Chengdu 610041, China. 4. Department of Ultrasound Medicine, West China Hospital, ...

Geometric Deep Learning for Cardiac Motion Analysis

Moreover, in clinical practice, the acquired imaging data is often sparse in 3D. More recently geometric deep learning approaches have shown to be highly ...

A Review Paper about Deep Learning for Medical Image Analysis

It has proven to be the most effective method for organ segmentation, cancer detection, disease categorization, and computer-assisted diagnosis.

Towards Precision Medicine with Graph Representation Learning

Graph representation learning has matured immensely as a field within the last few years. Graph machine learning approaches, also known as geometric deep ...