Results 21 to 30 of about 287,146 (257)

Structured computer-based training in the interpretation of neuroradiological images [PDF]

, 2000
Computer-based systems may be able to address a recognised need throughout the medical profession for a more structured approach to training. We describe a combined training system for neuroradiology, the MR Tutor that differs from previous approaches to
Azevedo, B du Boulay, B.A Teather, Boshuizen, Brown, Collins, D Teather, du Boulay, Fink, Fishman, G.H du Boulay, Garlatti, Getty, Greenacre, Hayt, Jeffery, Krumhansl, Kushniruk, Lesgold, Lesgold, M Sharples, Macura, Myles-Worsley, N.P Jeffery, Nielsen, Nosofsky, Teather   +26 more
core   +2 more sources

Soft tissue structure modelling for use in orthopaedic applications and musculoskeletal biomechanics [PDF]

, 2010
We present our methodology for the three-dimensional anatomical and geometrical description of soft tissues, relevant for orthopaedic surgical applications and musculoskeletal biomechanics.
Audenaert, Emmanuel, MAHIEU, PETER, Pattyn, Christophe, Van Hoof, Tom   +3 more
core   +2 more sources

Mental Foramen Size, Position and Symmetry in a Multi-Ethnic, Urban Black Population: Radiographic Evidence

eJournal of Oral Maxillofacial Research, 2018
Objectives: To determine the approximate location, shape and dimensions of the mental foramen in African subjects using panoramic radiographs. Material and Methods: This study analysed 320 orthopantomograms of subjects from two centres.
Seidu Adebayo Bello, John Ademola Adeoye, Nosa Ighile, Nathan Ukuoghene Ikimi   +3 more
doaj   +1 more source

C.E. Credit. Artificial Intelligence Applications for the Radiographic Detection of Periodontal Disease: A Scoping Review

Journal of the California Dental Association, 2023
Background Calculating radiographic bone loss (RBL) can be time-consuming, labor-intensive, and examiner dependent. Artificial intelligence (AI) models have been developed to automate the detection of RBL and the risk of developing periodontal disease ...
Anne Miller, Chunbo Huang, Erica R. Brody, Rafael Siqueira   +3 more
doaj   +1 more source

Principles and Applications of Dual-Layer Spectral CT in Gastrointestinal Imaging

Diagnostics, 2023
The advance in technology allows for the development of different CT scanners in the field of dual-energy computed tomography (DECT). In particular, a recently developed detector-based technology can collect data from different energy levels, thanks to ...
Paolo Niccolò Franco, Chiara Maria Spasiano, Cesare Maino, Elena De Ponti, Maria Ragusi, Teresa Giandola, Simone Terrani, Marta Peroni, Rocco Corso, Davide Ippolito   +9 more
doaj   +1 more source

Digital subtraction of temporally sequential mammograms for improved detection and classification of microcalcifications

European Radiology Experimental, 2021
Background Our aim was to demonstrate that automated detection and classification of breast microcalcifications, according to Breast Imaging Reporting and Data System (BI-RADS) categorisation, can be improved with the subtraction of sequential mammograms
Kosmia Loizidou, Galateia Skouroumouni, Costas Pitris, Christos Nikolaou   +3 more
doaj   +1 more source

Comparison of Ki67 Proliferation Index in Gastrointestinal Non-Hodgkin Large B-Cell Lymphomas: The Conventional Method of Evaluation or AI Evaluation?

Diagnostics, 2023
The most common NHL subtype in SEEU is DLBCL (39%), and it manifests with a variety of cellular morphologies and a high proliferation index. Also, the GI tract is the most common site of extranodal NHLs, and most NHLs involving the GI tract are of B-cell
Miruna Cristian, Mariana Așchie, Mariana Deacu, Mădălina Boșoteanu, Gabriela Izabela Bălțătescu, Andreea Georgiana Stoica, Anca Antonela Nicolau, Ionuț Poinăreanu, Cristian Ionuț Orășanu   +8 more
doaj   +1 more source

Theoretical and Practical Considerations Concerning the Use of Larger Qualitative Samples for the Documentary Interpretation of Pictures: Computer-Assisted Image Assessment and the Iconic Operationalization of Tinder Profiles

, 2022
JDM - Jahrbuch Dokumentarische ...
openaire   +2 more sources

Neural network-based colonoscopic diagnosis using on-line learning and differential evolution [PDF]

, 2004
In this paper, on-line training of neural networks is investigated in the context of computer-assisted colonoscopic diagnosis. A memory-based adaptation of the learning rate for the on-line back-propagation (BP) is proposed and used to seed an on-line ...
Battiti, Doulamis, George D Magoulas, Hagan, Haralick, Innocent, Jacobs, Karkanis, Kudo, Magoulas, Magoulas, Michael N Vrahatis, Möller, Nagata, Phee, Roehl, Storn, Vassilis P Plagianakos, Vogl   +18 more
core   +1 more source

Detecting low blood concentrations in joints using T1 and T2 mapping at 1.5, 3, and 7 T: an in vitro study

European Radiology Experimental, 2021
Background Intra-articular blood causes irreversible joint damage, whilst clinical differentiation between haemorrhagic joint effusion and other effusions can be challenging.
Flora H. P. van Leeuwen, Beatrice Lena, Jaco J. M. Zwanenburg, Lize F. D. van Vulpen, Lambertus W. Bartels, Kathelijn Fischer, Frank J. Nap, Pim A. de Jong, Clemens Bos, Wouter Foppen   +9 more
doaj   +1 more source