Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Somayeh Ebrahimkhani"'
Publikováno v:
Iranian Journal of Otorhinolaryngology, Vol 33, Iss 2, Pp 79-86 (2021)
Introduction: Hearing loss (HL), with more than 100 gene loci, is the most common sensorineural defects in humans. The mutations in two GJB2 and GJB6 (Gap Junction Protein Beta 2, 6) genes are responsible for nearly 50% of autosomal recessive nonsynd
Externí odkaz:
https://doaj.org/article/65265a4fadbe408f9e0f9c228b6f0c9a
Autor:
Flavia M. Cicuttini, Yuanyuan Wang, Mohamed Hisham Jaward, Somayeh Ebrahimkhani, Anuja Dharmaratne
Publikováno v:
Neurocomputing. 467:36-55
Segmentation of knee articular cartilage tissue (ACT) from 3D magnetic resonance images (MRIs) is a fundamental task in assessing knee osteoarthritis (KOA). However, automated ACT segmentation of knee cartilage is complicated by (1) the variability o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17ff121a555ec5e0438a92f3cc684944
https://doi.org/10.1016/j.neucom.2021.09.048
https://doi.org/10.1016/j.neucom.2021.09.048
Publikováno v:
Iranian Journal of Otorhinolaryngology
Introduction: Hearing loss (HL), with more than 100 gene loci, is the most common sensorineural defects in humans. The mutations in two GJB2 and GJB6 (Gap Junction Protein Beta 2, 6) genes are responsible for nearly 50% of autosomal recessive nonsynd
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::02033ef05003f93592229df53b478116
https://pubmed.ncbi.nlm.nih.gov/33912482
https://pubmed.ncbi.nlm.nih.gov/33912482
Autor:
Anuja Dharmaratne, Alba García Seco de Herrera, Yuanyuan Wang, Mohamed Hisham Jaward, Somayeh Ebrahimkhani, Flavia M. Cicuttini
Publikováno v:
Artificial Intelligence in Medicine. 106:101851
In this paper, we review the state-of-the-art approaches for knee articular cartilage segmentation from conventional techniques to deep learning (DL) based techniques. Knee articular cartilage segmentation on magnetic resonance (MR) images is of grea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86f69ee039318207f7d59ca3e0bc06c3
https://doi.org/10.1016/j.artmed.2020.101851
https://doi.org/10.1016/j.artmed.2020.101851