Results 31 to 40 of about 4,547 (130)

Integration of imaging with liquid biopsy using artificial intelligence for ultra-early detection of breast cancer

open access: yesFrontiers in Imaging
Breast cancer early detection using liquid biopsy, circulating tumor DNA (ctDNA), artificial intelligence (AI), and multimodal fusion offers a promising but still emerging research strategy to overcome the limitations of conventional imaging.
Shalaka Ramgir-Naidu   +3 more
doaj   +1 more source

Facial attribute-aware DeepFake detection through semi-supervised facial attribute labeling

open access: yesFrontiers in Imaging
This study investigates the correlation between misclassifications in DeepFake detection and high-level facial attributes. A pre-trained frame-level classifier is used to distinguish manipulated from authentic video content, and its wrong predictions are
Vittorio Stile   +5 more
doaj   +1 more source

UEG Week 2017 Poster Presentations

open access: yes, 2017
United European Gastroenterology Journal, Volume 5, Issue S5, Page A161-A836, October 2017.
wiley   +1 more source

A quantitative framework for explainability assessment in medical imaging

open access: yesFrontiers in Imaging
IntroductionDeep learning has achieved strong results in histopathological diagnosis, but the lack of transparency in deep neural network models limits their clinical acceptance.
Raimondo Fanale   +4 more
doaj   +1 more source

Abstract Book: ISEV2017

open access: yes, 2017
Journal of Extracellular Vesicles, Volume 6, Issue S1, April 2017.
wiley   +1 more source

Deep learning for secure imaging and video surveillance in smart cities: from bibliometric mapping to real-world implementations

open access: yesFrontiers in Imaging
The integration of imaging sensors, unmanned aerial vehicles (UAVs), and satellite platforms has expanded capabilities in surveillance, smart-city systems, and remote sensing.
Samad Olalekan Olansile   +5 more
doaj   +1 more source

Motion history images: a new method for tracking microswimmers in 3D

open access: yesFrontiers in Imaging
Quantitative tracking of rapidly moving micron-scale objects remains an elusive challenge in microscopy due to low signal-to-noise. This paper describes a novel method for tracking micron-sized motile organisms in off-axis Digital Holographic Microscope (
Max Riekeles   +5 more
doaj   +1 more source

Overhead fisheye cameras for indoor monitoring: challenges and recent progress

open access: yesFrontiers in Imaging
Monitoring the number of people in various spaces of a building is important for optimizing space usage, assisting with public safety, and saving energy.
Janusz Konrad   +3 more
doaj   +1 more source

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