Results 201 to 210 of about 117,293 (275)

Brain tissue classification in hyperspectral images using multistage diffusion features and transformer

open access: yesJournal of Microscopy, EarlyView.
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

Advancing collagen‐related pathology assessment through second‐harmonic generation imaging

open access: yesJournal of Microscopy, EarlyView.
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]

open access: yesInt J Retina Vitreous
Hosseini F   +11 more
europepmc   +1 more source

Artificial Intelligence in Periodontology: A Systematic Review

open access: yesJournal of Periodontal Research, EarlyView.
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

The Potential of Ensemble‐Based Automated Sleep Staging on Single‐Channel EEG Signal From a Wearable Device

open access: yesJournal of Sleep Research, EarlyView.
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

A Neural Network Model for Intelligent Classification of Distal Radius Fractures Using Statistical Shape Model Extraction Features

open access: yesOrthopaedic Surgery, Volume 17, Issue 5, Page 1513-1524, May 2025.
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

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