Results 241 to 250 of about 183,910 (287)

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source

Towards mutual recognition of investigative measures and free movement of evidence [PDF]

open access: yes, 2010
De Bondt, Wendy   +2 more
core  

Seeing Through the Face: Robust Facial Diagnosis Enhanced by Landmark Detection and Pose Normalization

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a robust, generalizable new approach for facial type diagnosis. Based on landmark detection and pose normalization, a 94.7% diagnostic accuracy is achieved by Combined Heatmap Regression and Coordinate Regression network. This research makes the AI‐generated preliminary diagnosis more interpretable and reducing the impact of ...
Qianyang Xie   +12 more
wiley   +1 more source

The responsibilities of a commercial intermediation company as a new food business: the case of a typical regional Italian food. [PDF]

open access: yesJ Prev Med Hyg
Trucchi C   +7 more
europepmc   +1 more source

Response to “Sequential Portal Vein–Hepatic Vein Embolization: Progress Yet Unaccounted Pitfalls”

open access: yes
Annals of Gastroenterological Surgery, EarlyView.
Thanh Tung Lai, Masaki Kaibori
wiley   +1 more source

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang   +6 more
wiley   +1 more source

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