Frontiers

Predicting isocitrate dehydrogenase status in glioma using hierarchical attention-based deep 3D multiple instance learning

Background: According to the 2021 WHO classification of tumors of the central nervous system, isocitrate dehydrogenase (IDH) status serve an independent prognostic biomarker and is closely associated ...
GitHub

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

If you find our work useful in your research, please consider citing: @article{qi2017pointnetplusplus, title={PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space}, ...
Beebom

What is CNN in Deep Learning? The AI Behind Computer Vision

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
digitalmarketreports

Lingyun Lai Enhances Data Security Evaluation with Deep Learning and Hierarchical Analytical Frameworks.

The rapid expansion of digital infrastructure has heightened data security risks across sectors. Traditional assessment methods, often reliant on fragmented evaluations and reactive maintenance, ...
IEEE

HieRMVir: Interpretable Viral Classification via Hierarchical Deep Learning

Abstract: Accurate identification of pathogens—especially those with pandemic potential—remains a significant challenge, particularly when traditional sequence alignment methods fail. While recent ...
EurekAlert!

AI tool offers deep insight into the immune system

Researchers explore the human immune system by looking at the active components, namely the various genes and cells involved. But there is a broad range of these, and observations necessarily produce ...
News Medical

Researchers develop AI system to decode the human immune system

Researchers explore the human immune system by looking at the active components, namely the various genes and cells involved. But there is a broad range of these, and observations necessarily produce ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
Frontiers

Comparative analysis of machine learning techniques on the BraTS dataset for brain tumor classification

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...