Results 41 to 50 of about 569,548 (164)

Virtual slides in peer reviewed, open access medical publication

Diagnostic Pathology, 2011
Background Application of virtual slides (VS), the digitalization of complete glass slides, is in its infancy to be implemented in routine diagnostic surgical pathology and to issues that are related to tissue-based diagnosis, such as education and ...
Kayser Klaus, Borkenfeld Stephan, Goldmann Torsten, Kayser Gian   +3 more
doaj   +1 more source

A large scale training sample database system for intelligent interpretation of remote sensing imagery

Geo-spatial Information Science
Artificial Intelligence (AI) Machine Learning (ML) technologies, particularly Deep Learning (DL), have demonstrated significant potential in the interpretation of Remote Sensing (RS) imagery, covering tasks such as scene classification, object detection,
Zhipeng Cao, Liangcun Jiang, Peng Yue, Jianya Gong, Xiangyun Hu, Shuaiqi Liu, Haofeng Tan, Chang Liu, Boyi Shangguan, Dayu Yu   +9 more
doaj   +1 more source

Ontologies to interpret remote sensing images: why do we need them?

GIScience & Remote Sensing, 2019
The development of new sensors and easier access to remote sensing data are significantly transforming both the theory and practice of remote sensing. Although data-driven approaches based on innovative algorithms and enhanced computing capacities are ...
Damien Arvor, Mariana Belgiu, Zoe Falomir, Isabelle Mougenot, Laurent Durieux   +4 more
doaj   +1 more source

Dermoscopic Image Digital Post-Processing Perception and Use Among Members of theInternational Dermoscopy Society: Results of a Web-based Survey

Dermatology Practical & Conceptual
Introduction: Speculatively, digital image post-processing (DIPP) enhances diagnostic accuracy in dermoscopy. Objective: We aimed to investigate the advantages and limitations of DIPP, as well as its perceived reliability and safety.
Marian Voloshynovych, Paweł Pietkiewicz , Cristián Navarette-Dechent , Aimilios Lallas , John Paoli , Harald Kittler , Ashfaq A. Marghoob, Mohamad Goldust, Jacek C. Szepietowski , Iris Zalaudek , Thomas M. Beachkofsky, Caterina Longo , Cliff Rosendahl , Norbert Kiss, Giuseppe Argenziano, Mohammad Jafferany, Agnieszka Leszczyńska-Pietkiewicz, Natalia Salwowska, Nataliia Matkovska   +18 more
doaj   +1 more source

Artificial Intelligence-Aided Tooth Detection and Segmentation on Pediatric Panoramic Radiographs in Mixed Dentition Using a Transfer Learning Approach

Diagnostics
Background/Objectives: Accurate identification of deciduous and permanent teeth on panoramic radiographs (PRs) during mixed dentition is fundamental for early detection of eruption disturbances, yet relies heavily on clinician experience due to ...
Serena Incerti Parenti, Giorgio Tsiotas, Alessandro Maglioni, Giulia Lamberti, Andrea Fiordelli, Davide Rossi, Luciano Bononi, Giulio Alessandri-Bonetti   +7 more
doaj   +1 more source

SAREval: A Multi-Dimensional and Multi-Task Benchmark for Evaluating Visual Language Models on SAR Image Understanding

Remote Sensing
Vision-Language Models (VLMs) demonstrate significant potential for remote sensing interpretation through multimodal fusion and semantic representation of imagery.
Ziyan Wang, Lei Liu, Gang Wan, Yuchen Lu, Fengjie Zheng, Guangde Sun, Yixiang Huang, Shihao Guo, Xinyi Li, Liang Yuan   +9 more
doaj   +1 more source

ePortfolios: Enhancing confidence in student radiographers' communication of radiographic anatomy and pathology. A cross‐sectional study

Journal of Medical Radiation Sciences
Introduction In 2020, the Medical Radiation Practice Board of Australia made several revisions to its professional capabilities. To address this, medical radiation practitioners, including diagnostic radiographers, are required to escalate urgent ...
Magdalena Dolic, Yaxuan Peng, Keshav Dhingra, Kristal Lee, John McInerney   +4 more
doaj   +1 more source

Deep Learning-Based Semantic Segmentation and Classification of Otoscopic Images for Otitis Media Diagnosis and Health Promotion

Diagnostics
Background/Objectives: Otitis media (OM), including acute otitis media (AOM) and chronic otitis media (COM), is a common middle ear disease that can lead to significant morbidity if not accurately diagnosed.
Chien-Yi Yang, Che-Jui Lee, Wen-Sen Lai, Kuan-Yu Chen, Chung-Feng Kuo, Chieh Hsing Liu, Shao-Cheng Liu   +6 more
doaj   +1 more source

SEM Image Interpretation

, 2017
Information in SEM images about specimen properties is conveyed when contrast in the backscattered and/or secondary electron signals is created by differences in the interaction of the beam electrons between a specimen feature and its surroundings. The resulting differences in the backscattered and secondary electron signals (S) convey information ...
Joseph I. Goldstein, Dale E. Newbury, Joseph R. Michael, Nicholas W. M. Ritchie, John Henry J. Scott, David C. Joy   +5 more
openaire   +1 more source

Image Interpretation Session [PDF]

RadioGraphics, 2003
Michael P. Federle, Alec J. Megibow, Faye C. Laing, Hugh D. Curtin, Jeffrey S. Klein, Richard B. Towbin   +5 more
openaire   +1 more source