Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6259910 | PMC |
http://dx.doi.org/10.1097/CORR.0000000000000550 | DOI Listing |
Clin Orthop Relat Res
November 2024
Collections Manager, Historical Collections, National Museum of Health and Medicine, Defense Health Agency, Silver Spring, MD, USA.
Comput Med Imaging Graph
January 2025
Institute of Biomedical Manufacturing and Life Quality Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. Electronic address:
Accurate segmentation of the inferior alveolar nerve (IAN) within Cone-Beam Computed Tomography (CBCT) images is critical for the precise planning of oral and maxillofacial surgeries, especially to avoid IAN damage. Existing methods often fail due to the low contrast of the IAN and the presence of artifacts, which can cause segmentation discontinuities. To address these challenges, this paper proposes a novel approach that employs Non-Uniform Rational B-Spline (NURBS) curve shape priors into a multiscale attention network for the automatic segmentation of the IAN.
View Article and Find Full Text PDFNat Commun
December 2024
Institute of Pathology, University Hospital Cologne, 50937, Cologne, Germany.
Histological slides contain numerous artifacts that can significantly deteriorate the performance of image analysis algorithms. Here we develop the GrandQC tool for tissue and multi-class artifact segmentation. GrandQC allows for high-precision tissue segmentation (Dice score 0.
View Article and Find Full Text PDFDeath Stud
December 2024
The Louis and Gabi Weisfeld School of Social Work, Bar Ilan University, Israel.
This study explores the phenomenon of memorial stickers commemorating victims of the October 7, 2023, massacre and subsequent Israel-Hamas war. Analyzing 600 stickers collected across Israel, we examine how these artifacts shape personal and collective memory of these tragic events. Using content analysis, visual data analysis, and ethnography of texts, we investigate the stickers' distribution, textual content, and visual elements.
View Article and Find Full Text PDFComput Biol Med
December 2024
Department of Technical Education Uttar Pradesh, India.
Health care images contain a variety of imaging information that has specific features, which can make it challenging to assess and decide on the methods necessitated to safeguard the highly classified visuals from unauthorized exposure during transmission in a communication channel. As a result, this proposed approach utilizes a variety of techniques that will enhance the quality of textual healthcare images, communicate information securely, and interpret textual data from healthcare visuals without difficulty. Natural interference, primarily on the receiver side, reduces text-based healthcare image contrast, and numerous artifacts and adjacent picture element values impede diagnosis.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!