Zobrazeno 1 - 10
of 281
pro vyhledávání: '"GrowCut algorithm"'
Publikováno v:
Alexandria Engineering Journal, Vol 60, Iss 1, Pp 897-904 (2021)
This paper combines improved GrowCut and Zernik feature extraction and ensemble learning techniques such as KNN, SVM, and MLP algorithms to prostate cancer detection and lesion segmentation in MRI. We use improved GrowCut algorithm for segmentation o
Externí odkaz:
https://doaj.org/article/d1e16ecf7cf14d419f33ef27ccf65694
Publikováno v:
Alexandria Engineering Journal, Vol 60, Iss 1, Pp 897-904 (2021)
This paper combines improved GrowCut and Zernik feature extraction and ensemble learning techniques such as KNN, SVM, and MLP algorithms to prostate cancer detection and lesion segmentation in MRI. We use improved GrowCut algorithm for segmentation o
Akademický článek
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Publikováno v:
PeerJ, Vol 4, p e2003 (2016)
Automated retinal image analysis has been emerging as an important diagnostic tool for early detection of eye-related diseases such as glaucoma and diabetic retinopathy. In this paper, we have presented a robust methodology for optic disc detection a
Externí odkaz:
https://doaj.org/article/de83d4db73e549459f6d0ffb59411cbc
EL-IGrowCut: MRI Brain Tissue Segmentation Based on Ensemble Learning and Improve GrowCut Techniques
Autor:
Hamidreza Ghaffari, Fatemeh Jafari
Background and ObjectiveMagnetic resonance (MR) technology enables physicians to employ digital imaging as a tool to identify and analyze brain tumors as well as to differentiate between healthy and tumor tissues. Since precisely defining the tumor p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98c1c32806d47d3b833304dd9a275968
https://doi.org/10.21203/rs.3.rs-194240/v1
https://doi.org/10.21203/rs.3.rs-194240/v1
Publikováno v:
Entropy
Volume 22
Issue 9
Entropy, Vol 22, Iss 1028, p 1028 (2020)
Volume 22
Issue 9
Entropy, Vol 22, Iss 1028, p 1028 (2020)
The exploitation of the important features exhibited by the complex systems found in the surrounding natural and artificial space will improve computational model performance. Therefore, the purpose of the current paper is to use cellular automata as
Autor:
Michelle M Maeng, Michael Kazim, Mary Dahl Maher, Andrea A. Tooley, Kristen E. Dunbar, Ranjodh S Boparai, Kyle J. Godfrey
Publikováno v:
Ophthalmic plastic and reconstructive surgery. 36(6)
Purpose To measure orbital cavernous hemangioma size using 3 segmentation methods requiring different degrees of subjective judgment, and to evaluate interobserver agreement using these methods. Methods Fourteen patients with orbital cavernous hemang
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, Volume: 53, Issue: 2, Article number: e8962, Published: 31 JAN 2020
Brazilian Journal of Medical and Biological Research
Brazilian Journal of Medical and Biological Research v.53 n.2 2020
Associação Brasileira de Divulgação Científica (ABDC)
instacron:ABDC
Brazilian Journal of Medical and Biological Research, Vol 53, Iss 2 (2020)
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Brazilian Journal of Medical and Biological Research
Brazilian Journal of Medical and Biological Research v.53 n.2 2020
Associação Brasileira de Divulgação Científica (ABDC)
instacron:ABDC
Brazilian Journal of Medical and Biological Research, Vol 53, Iss 2 (2020)
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e46dd18ce544a1eca243c6292f6eb37
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2020000200605&lng=en&tlng=en
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2020000200605&lng=en&tlng=en
Autor:
Laarni R. Hellwig
Publikováno v:
International Journal for Research in Applied Science and Engineering Technology. 6:4916-4932