Results 251 to 260 of about 259,715 (355)

Self‐Supervised Learning‐Based Framework for Speckle Reduction of Optical Coherence Tomography Images Using Frame Interpolation

open access: yesAdvanced Intelligent Systems, EarlyView.
In summary, a self‐supervised end‐to‐end framework for OCT image despeckling is proposed, without access to unpaired noisy–clean images or paired noisy–noisy images for training. The despeckling performance has been evaluated on 150 subjects from five retina datasets (121 subjects) and one middle ear dataset (29 subjects). Optical coherence tomography (
Zhiyi Jiang   +3 more
wiley   +1 more source

Signal denoising techniques for partial discharge measurements [PDF]

open access: green, 2005
Sumithra Sriram   +3 more
openalex   +1 more source

Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin   +9 more
wiley   +1 more source

Hi‐LabSpermTracking: A Novel and High‐Quality Sperm Tracking Dataset with an Advanced Ensemble Detection and Tracking Approach for Real‐World Clinical Scenarios

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents Hi‐LabSpermTracking, a long‐duration, expert‐annotated sperm motility dataset for detection and tracking. It evaluates You Only Look Once version 8, Real‐Time Detection Transformer, and Simple Online and Realtime Tracking with a Deep Association Metric in three scenarios. The mean ensemble method improves tracking performance. Sperm
Abdulsamet Aktas   +5 more
wiley   +1 more source

Empowering Biomedical Research with Foundation Models in Computational Microscopy: A Systematic Review

open access: yesAdvanced Intelligent Systems, EarlyView.
The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding   +5 more
wiley   +1 more source

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