Zobrazeno 1 - 10
of 53
pro vyhledávání: '"R. Meena Prakash"'
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 11:266-277
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::846fc13fa9548424373803978d46d0c2
https://doi.org/10.1080/21681163.2022.2068161
https://doi.org/10.1080/21681163.2022.2068161
Publikováno v:
Computational Intelligence in Medical Decision Making and Diagnosis ISBN: 9781003309451
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72216ec464d2c3d76f189bea3a948fd4
https://doi.org/10.1201/9781003309451-4
https://doi.org/10.1201/9781003309451-4
Publikováno v:
Computational Intelligence in Medical Decision Making and Diagnosis ISBN: 9781003309451
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e11790d06741975c789de61e2191ad2
https://doi.org/10.1201/9781003309451-7
https://doi.org/10.1201/9781003309451-7
Autor:
R. Meena Prakash, M. Vimala, K. Ramalakshmi, M. Balakrishna Prakash, A. Krishnamoorthi, R. Shantha Selva Kumari
Publikováno v:
2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a102a71beaf903460bd495a27bc5f3c7
https://doi.org/10.1109/icicict54557.2022.9917901
https://doi.org/10.1109/icicict54557.2022.9917901
Akademický článek
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Publikováno v:
2019 International Conference on Smart Systems and Inventive Technology (ICSSIT).
Face recognition finds its major applications in biometrical security, health care and marketing. Among many biometrics like finger print, iris, voice, hand geometry, signature etc., face recognition has attained the most popular research orientation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32b828f6919efdf57dea0929389c2532
https://doi.org/10.1109/icssit46314.2019.8987899
https://doi.org/10.1109/icssit46314.2019.8987899
Publikováno v:
2019 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET).
Magnetic resonance imaging is one of the non-invasive imaging techniques widely employed to diagnose brain diseases. Early diagnosis and treatment of brain tumors is essential. It is a time consuming process for the radiologists to manually classify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd3157f63eea57f69cd3257ba43fc638
https://doi.org/10.1109/wispnet45539.2019.9032811
https://doi.org/10.1109/wispnet45539.2019.9032811
Publikováno v:
Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention ISBN: 9781668475447
Digital pathology is one of the significant methods in the medicine field to diagnose and treat cancer. The cell morphology and architecture distribution of biopsies are analyzed to diagnose the spread and severity of the disease. Manual analyses are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8902bbbe272fbaaa82f42172f34dcf65
https://doi.org/10.4018/978-1-5225-6316-7.ch006
https://doi.org/10.4018/978-1-5225-6316-7.ch006
Publikováno v:
Arabian Journal for Science and Engineering. 42:595-605
A fully automatic and accurate brain image segmentation divided into the three tissue types—Grey Matter, White Matter and Cerebrospinal Fluid (CSF)—is necessary in medical analysis. Gaussian Mixture Model (GMM) is one of the most widely implement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f519643e042e4e2915e89ee10d0e238
https://doi.org/10.1007/s13369-016-2278-0
https://doi.org/10.1007/s13369-016-2278-0
Publikováno v:
International Journal of Imaging Systems and Technology. 26:116-123
This paper proposes a fully automated method for MR brain image segmentation into Gray Matter, White Matter and Cerebro-spinal Fluid. It is an extension of Fuzzy C Means Clustering Algorithm which overcomes its drawbacks, of sensitivity to noise and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e2802d08b00900925557eca0ed94b74
https://doi.org/10.1002/ima.22166
https://doi.org/10.1002/ima.22166