Zobrazeno 1 - 10
of 2 619
pro vyhledávání: '"automated segmentation"'
Autor:
Zhi Wei Lim, Jonathan Li, Damon Wong, Joey Chung, Angeline Toh, Jia Ling Lee, Crystal Lam, Maithily Balakrishnan, Audrey Chia, Jacqueline Chua, Michael Girard, Quan V. Hoang, Rachel Chong, Chee Wai Wong, Seang Mei Saw, Leopold Schmetterer, Noel Brennan, Marcus Ang
Publikováno v:
Eye and Vision, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract Background Myopia affects 1.4 billion individuals worldwide. Notably, there is increasing evidence that choroidal thickness plays an important role in myopia and risk of developing myopia-related conditions. With the advancements in artifici
Externí odkaz:
https://doaj.org/article/63307202e0a44ebd8d84cf67b96d7499
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 18, Iss 05, Pp 16-19 (2024)
Introduction: Diffusion can efficiently detect infratentorial and brainstem infarctions. Fluid-attenuation Inversion Recovery (FLAIR) is a widely used Magnetic Resonance Imaging (MRI) technique for the segmentation of brain lesions and strokes. Aim:
Externí odkaz:
https://doaj.org/article/27604b1820224837a344ec0217bc03d3
Autor:
Alessandra Aldieri, Riccardo Biondi, Antonino A. La Mattina, Julia A. Szyszko, Stefano Polizzi, Daniele Dall’Olio, Nico Curti, Gastone Castellani, Marco Viceconti
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Quantitative computed tomography (QCT)-based in silico models have demonstrated improved accuracy in predicting hip fractures with respect to the current gold standard, the areal bone mineral density. These models require that the femur bone
Externí odkaz:
https://doaj.org/article/f5835009f36d4f0e9445596a195788b7
Autor:
Jacqueline Matthew, Alena Uus, Leah De Souza, Robert Wright, Abi Fukami-Gartner, Gema Priego, Carlo Saija, Maria Deprez, Alexia Egloff Collado, Jana Hutter, Lisa Story, Christina Malamateniou, Kawal Rhode, Jo Hajnal, Mary A. Rutherford
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract This study explores the potential of 3D Slice-to-Volume Registration (SVR) motion-corrected fetal MRI for craniofacial assessment, traditionally used only for fetal brain analysis. In addition, we present the first description of an automate
Externí odkaz:
https://doaj.org/article/29f11697c586414ab0fe1af0070f0aaa
Autor:
Merran R. Courtney, Benjamin Sinclair, Andrew Neal, John-Paul Nicolo, Patrick Kwan, Meng Law, Terence J. O'Brien, Lucy Vivash
Publikováno v:
NeuroImage, Vol 296, Iss , Pp 120682- (2024)
Accurate resection cavity segmentation on MRI is important for neuroimaging research involving epilepsy surgical outcomes. Manual segmentation, the gold standard, is highly labour intensive. Automated pipelines are an efficient potential solution; ho
Externí odkaz:
https://doaj.org/article/7dd6a53f6f5a42f5a1daf7c0dcb94293
Publikováno v:
PeerJ Computer Science, Vol 10, p e2178 (2024)
This work presents the application of an Encoder-Decoder convolutional neural network (ED-CNN) model to automatically segment COVID-19 computerised tomography (CT) data. By doing so we are producing an alternative model to current literature, which i
Externí odkaz:
https://doaj.org/article/3964b5a23af0472cae8e1d5939dab0cf
Publikováno v:
Healthcare Analytics, Vol 5, Iss , Pp 100307- (2024)
Automated segmentation methods can produce faster segmentation of tumors in medical images, aiding medical professionals in diagnosis and treatment plans. A 3D U-Net method excels in this task but has high computational costs due to large model param
Externí odkaz:
https://doaj.org/article/56fd457d981a4bd98003294306d4d433
Autor:
Po-Wei Huang, Syu-Jyun Peng, David Hung-Chi Pan, Huai-Che Yang, Jo-Ting Tsai, Cheng-Ying Shiau, I-Chang Su, Ching-Jen Chen, Hsiu-Mei Wu, Chung-Jung Lin, Wen-Yuh Chung, Wan-Yuo Guo, Wei-Lun Lo, Shao-Wen Lai, Cheng-Chia Lee
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract The aim of the study was to investigate whether morphology (i.e. compact/diffuse) of brain arteriovenous malformations (bAVMs) correlates with the incidence of hemorrhagic events in patients receiving Stereotactic Radiosurgery (SRS) for unru
Externí odkaz:
https://doaj.org/article/3822602701c44faf9b39e2a80b3c555e
Autor:
Rozemarijn M. Mattiesing, Serena Stel, Alysha S. Mangroe, Iman Brouwer, Adriaan Versteeg, Ronald A. van Schijndel, Bernard M.J. Uitdehaag, Frederik Barkhof, Hugo Vrenken, Joost P.A. Kuijer
Publikováno v:
Neuroimage: Reports, Vol 4, Iss 1, Pp 100194- (2024)
Background: The detection and quantification of changes in white matter lesions in the brain is important to monitor treatment effects in patients with multiple sclerosis (MS). Existing automatic tools predominantly require FLAIR images as input whic
Externí odkaz:
https://doaj.org/article/0d1b113afe55402c91d21b1e888f3f16
Autor:
Giacomo Aringhieri, Guja Astrea, Daniela Marfisi, Salvatore Claudio Fanni, Gemma Marinella, Rosa Pasquariello, Giulia Ricci, Francesco Sansone, Martina Sperti, Alessandro Tonacci, Francesca Torri, Sabrina Matà, Gabriele Siciliano, Emanuele Neri, Filippo Maria Santorelli, Raffaele Conte
Publikováno v:
Journal of Functional Morphology and Kinesiology, Vol 9, Iss 3, p 123 (2024)
We aim to develop a deep learning-based algorithm for automated segmentation of thigh muscles and subcutaneous adipose tissue (SAT) from T1-weighted muscle MRIs from patients affected by muscular dystrophies (MDs). From March 2019 to February 2022, a
Externí odkaz:
https://doaj.org/article/71f116d9155b41f4b7372ff2ee1dd16c