Results 31 to 40 of about 13,295,115 (295)
UK reporting radiographers' perceptions of AI in radiographic image interpretation - Current perspectives and future developments. [PDF]
Radiographer reporting is accepted practice in the UK. With a national shortage of radiographers and radiologists, artificial intelligence (AI) support in reporting may help minimise the backlog of unreported images.
Rainey, C. +11 more
core +1 more source
Statistics Learning Network Based on the Quadratic Form for SAR Image Classification
The convolutional neural network (CNN) has shown great potential in many fields; however, transferring this potential to synthetic aperture radar (SAR) image interpretation is still a challenging task. The coherent imaging mechanism causes the SAR signal
Chu He +4 more
doaj +1 more source
Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs
Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts and tumors.
Michael G. Endres +12 more
doaj +1 more source
Incorporating skin color for improved face detection and tracking system
Face detection and tracking have wide applications, for example, law enforcement, gaming, image search, marketing, etc. The detection and tracking tasks are quite challenging.
Elchouemi, A. +3 more
core +1 more source
Implementing probabilistic description logics: An application to image interpretation [PDF]
This paper presents an application of an optimized implementation of a probabilistic description logic defined by Giugno and Lukasiewicz [9] to the domain of image interpretation. This approach extends a description logic with so-called probabilistic
Möller, Ralf, Näth, Tobias H.
core +1 more source
Background: Low-field (LF) magnetic resonance imaging (MRI) is a technology that is widely used in resource-limited settings for clinical imaging. The images produced, even though of low resolution with noise and artefacts, provide valuable information ...
Godwin Ogbole +4 more
doaj +1 more source
Urban growth and natural hazard events are continuous trends and reliable monitoring is demanded by organisations such as the Intergovernmental Panel on Climate Change, the United Nations Office for Disaster Risk Reduction, or the United Nations Human ...
Alexander Fekete
doaj +1 more source
Decoding sill emplacement and forced fold growth in the Exmouth Sub-basin, offshore NW Australia: implications for hydrocarbon exploration [PDF]
Igneous sills emplaced at shallow-levels in sedimen tary basins commonly uplift the overburden and free surface. Uplift produces dome-s haped forced folds that may host economic hydrocarbon accumulations.
Magee, C +3 more
core +1 more source
A Reference-Free Lens-Flare-Aware Detector for Autonomous Driving
As autonomous driving technology advances, the deployment of autonomous vehicles in urban environments is rapidly increasing. Lens flare—an often overlooked optical artifact in object detection research—can lead to increased false positives or missed ...
Shanxing Ma +6 more
doaj +1 more source
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source

