Results 201 to 210 of about 117,293 (275)
HBEVOcc: Height-Aware Bird's-Eye-View Representation for 3D Occupancy Prediction from Multi-Camera Images. [PDF]
Lyu C +5 more
europepmc +1 more source
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger +2 more
wiley +1 more source
Breast cancer inter-image dissimilarity by feature optimization: An application of novel flea optimization algorithm. [PDF]
Fathimathul Rajeena PP +3 more
europepmc +1 more source
Advancing collagen‐related pathology assessment through second‐harmonic generation imaging
Abstract Collagen remodelling and dysregulation are the hallmarks of diverse pathological conditions. In this context, second‐harmonic generation (SHG) imaging has emerged as a powerful label‐free modality for assessing collagen. This offers submicron resolution, intrinsic optical sectioning, and deeper imaging capabilities without the need for ...
Jackson Rodrigues +7 more
wiley +1 more source
Detection of cystoid macular edema in patients with retinitis pigmentosa based on deep learning. [PDF]
Hosseini F +11 more
europepmc +1 more source
Artificial Intelligence in Periodontology: A Systematic Review
AI shows promise across periodontology, with deep learning achieving strong performance for image‐based diagnosis of periodontitis. However, limited data diversity, inconsistent metrics, and scarce external validation raise concerns about generalizability and clinical applicability.
Antonin Tichy +7 more
wiley +1 more source
AI-driven fault detection and classification in photovoltaic systems using deep learning techniques. [PDF]
Talaat FM, Salem M, Shaban WM.
europepmc +1 more source
ABSTRACT Machine‐learning‐based sleep staging models have achieved expert‐level performance on standard polysomnographic (PSG) data. However, their application to EEG recorded by wearable devices remains limited by non‐conventional referencing montage and the lack of benchmarking against PSG.
Federico Salfi +6 more
wiley +1 more source
Application and accuracy analysis of different facial regions based on deep learning in the diagnosis of hypertension. [PDF]
Wang J +5 more
europepmc +1 more source
This study developed an automated distal radius fracture classification system based on statistical shape model (SSM) feature extraction and neural network classification. The method first extracts point cloud data from CT images, then extracts fracture features through registration, downsampling, and PCA dimensionality reduction, before inputting them
Xing‐bo Cai +12 more
wiley +1 more source

