Zobrazeno 1 - 10
of 222
pro vyhledávání: '"Semiautomatic segmentation"'
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Introduction: The estimation of myocardial motion abnormalities has great potential for the early diagnosis of myocardial infarction (MI). This study aims to quantitatively analyze the segmental and transmural myocardial motion in MI rats by incorpor
Externí odkaz:
https://doaj.org/article/ba9d20691a14447eae18189c84fb2862
Akademický článek
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Autor:
Siti Fairuz Mat Radzi, Muhammad Khalis Abdul Karim, M Iqbal Saripan, Mohd Amiruddin Abd Rahman, Nurul Huda Osman, Entesar Zawam Dalah, Noramaliza Mohd Noor
Publikováno v:
IEEE Access, Vol 8, Pp 127720-127731 (2020)
The present work aimed to evaluate the reproducibility of radiomics features derived from manual delineation and semiautomatic segmentation after enhancement using the Contrast Limited Adaptive Histogram Equalization (CLAHE) and Adaptive Histogram Eq
Externí odkaz:
https://doaj.org/article/c1ed2bed57df44a1ba93e7d44bb6919b
Autor:
F.C.F. Dionísio, L.S. Oliveira, M.A. Hernandes, E.E. Engel, R.M. Rangayyan, P.M. Azevedo-Marques, M.H. Nogueira-Barbosa
Publikováno v:
Brazilian Journal of Medical and Biological Research, Vol 53, Iss 2 (2020)
The aims of this study were to evaluate the intra- and interobserver reproducibility of manual segmentation of bone sarcomas in magnetic resonance imaging (MRI) studies and to compare manual and semiautomatic segmentation methods. This retrospective
Externí odkaz:
https://doaj.org/article/602bf87c88684e35a7ac0c3a91db0408
Autor:
Gozde Serindere, Ceren Aktuna Belgin
Publikováno v:
Kocaeli Üniversitesi Sağlık Bilimleri Dergisi. 7:216-222
Objective: To compare the effectiveness of the manual and semi-automatic segmentation modules of the third-generation software used in computed tomography (CT) images in calculating frontal sinus (FS) and sphenoid sinus (SS) areas and volumes. Method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f11b2a5084823db943596efa1da9707
https://doi.org/10.30934/kusbed.836910
https://doi.org/10.30934/kusbed.836910
Autor:
Takahiro Nakao, Takeharu Yoshikawa, Hisaichi Shibata, Naoto Hayashi, Shouhei Hanaoka, Takeyuki Watadani, Osamu Abe, Soichiro Miki, Tomomi Takenaga, Yukihiro Nomura
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 16:1901-1913
The three-dimensional (3D) voxel labeling of lesions requires significant radiologists’ effort in the development of computer-aided detection software. To reduce the time required for the 3D voxel labeling, we aimed to develop a generalized semiaut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06d0104cb4846cf9a470ce9a17b9fa55
https://doi.org/10.1007/s11548-021-02504-z
https://doi.org/10.1007/s11548-021-02504-z
Autor:
Jane A. Cauley, Ebrahim Bani Hassan, Mahdi Imani, Aaron Samuel Tze Nor Ch'Ng, Sara Vogrin, Gustavo Duque, Nancy E Lane
Publikováno v:
Calcified tissue international, vol 110, iss 3
Calcif Tissue Int
Calcif Tissue Int
Background: Accurate quantification of bone, muscle, and their components is still an unmet need in the musculoskeletal field. Current methods to quantify tissue volumes in 3D images are expensive, labor-intensive, and time-consuming; thus, a reliabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::934765171c1f1ad3e087309b28f76159
https://doi.org/10.1007/s00223-021-00914-4
https://doi.org/10.1007/s00223-021-00914-4
Autor:
Max-Philipp Lentzen, Matthias Kreppel, Matthias Zirk, Johannes Buller, Joachim E. Zöller, Maximilian Riekert
Publikováno v:
Journal of Craniofacial Surgery. 33:e30-e34
This study was conducted to provide diametric and volumetric data of mandibular condyles from patients with Angle class 2 and 3 malocclusions by semiautomatic segmentation based upon cone-beam computed tomography.Cone-beam computed tomography images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9872ea70a0c594788ec159384a78915e
https://doi.org/10.1097/scs.0000000000007879
https://doi.org/10.1097/scs.0000000000007879
Autor:
Matthias Kreppel, Matthias Zirk, Max-Philipp Lentzen, Maximilian Riekert, Joachim E. Zoeller, Andrea Grandoch, Johannes Buller
Publikováno v:
Oral and Maxillofacial Surgery. 26:205-212
Purpose This study was conducted to elucidate volumetric data of mandibular condyles of orthognathic patients by analyzing cone beam computed tomography images based upon semiautomatic segmentation. Methods Cone beam computed tomography images of 87
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::132837a9ec51e8efa8d839e052e9eeee
https://doi.org/10.1007/s10006-021-00976-6
https://doi.org/10.1007/s10006-021-00976-6
Akademický článek
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