Frontiers

Deep learning model based on DCE-MRI: fusion of 3D features of tumor, peritumoral vessels and metastatic lymph nodes for prediction of pathological complete response to ...

Objective: The aim of this study is to develop a deep learning-based radiomic (DLR) model by fusing 3D features of tumor, peritumoral vessels, and metastatic lymph nodes from dynamic contrast-enhanced ...
IEEE

Hybrid Feature Extraction and Deep Learning Framework for Power Transformer Fault Classification: A Real-World Case Study

Abstract: Reliable fault diagnosis in power transformers is paramount for ensuring grid stability and safeguarding critical assets. This paper proposes a novel deep learning-based diagnostic framework ...
IEEE

Power Equipment Image Recognition Method Based on Feature Extraction and Deep Learning

Abstract: Traditional image recognition methods for power equipment face challenges such as difficulty in distinguishing target features from background features and insufficient feature extraction ...
Frontiers

Deep learning-based feature selection for detection of autism spectrum disorder

Introduction: Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by challenges in communication, social interactions, and repetitive behaviors. The heterogeneity of ...
Sports Illustrated

Panthers vet Adam Thielen in a league of his own on this PFF deep reception chart

What the Carolina Panthers were at the start of the 2024 NFL season is beyond irrelevant. Not only did they finish last year on a positive note, they've followed it up with a strong offseason - ...
devdiscourse

Multimodal biometrics revolutionize cryptographic key generation with deep neural networks

As digital security threats escalate globally, the demand for more secure authentication methods has intensified. Traditional security measures like passwords and PINs are increasingly vulnerable, ...