Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Subbiahpillai Neelakantapillai Kumar"'
Autor:
Alfred Lenin Fred, Subbiahpillai Neelakantapillai Kumar, Ajay Kumar Haridhas, Sayantan Ghosh, Harishita Purushothaman Bhuvana, Wei Khang Jeremy Sim, Vijayaragavan Vimalan, Fredin Arun Sedly Givo, Veikko Jousmäki, Parasuraman Padmanabhan, Balázs Gulyás
Publikováno v:
Brain Sciences, Vol 12, Iss 6, p 788 (2022)
Magnetoencephalography (MEG) plays a pivotal role in the diagnosis of brain disorders. In this review, we have investigated potential MEG applications for analysing brain disorders. The signal-to-noise ratio (SNRMEG = 2.2 db, SNREEG < 1 db) and spati
Externí odkaz:
https://doaj.org/article/0704d8d8d4cd477cb084f4a34fb559ec
Publikováno v:
Circuits, Systems, and Signal Processing. 39:522-542
The storage and transmission of medical data such as CT/MR DICOM images are an essential part of the telemedicine application. In this paper, a prediction-based lossless compression algorithm using least square approach is proposed for the compressio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1fcf911934fc8ee9d8410a3f859a22e
https://doi.org/10.1007/s00034-019-01152-8
https://doi.org/10.1007/s00034-019-01152-8
Publikováno v:
Journal of Digital Imaging. 32:322-335
Suspicious lesion or organ segmentation is a challenging task to be solved in most of the medical image analyses, medical diagnoses and computer diagnosis systems. Nevertheless, various image segmentation methods were proposed in the previous studies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10c0363d7fc3562c3f348335588f1906
https://doi.org/10.1007/s10278-018-0149-9
https://doi.org/10.1007/s10278-018-0149-9
Publikováno v:
Journal of Intelligent Systems, Vol 29, Iss 1, Pp 612-625 (2018)
Human disease identification from the scanned body parts helps medical practitioners make the right decision in lesser time. Image segmentation plays a vital role in automated diagnosis for the delineation of anatomical organs and anomalies. There ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb0db2131760dd4dce328332ff2be613
https://doi.org/10.1515/jisys-2017-0629
https://doi.org/10.1515/jisys-2017-0629
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811500343
SocProS (1)
SocProS (1)
The bio-inspired optimization algorithms play vital role in many research domains and this work analyzes animal behavior optimization algorithm. Medical image segmentation helps the physicians for disease diagnosis and treatment planning. This work i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b2796f68cd3c7d4f0062c116482b5d2
https://doi.org/10.1007/978-981-15-0035-0_60
https://doi.org/10.1007/978-981-15-0035-0_60
An Improved Gaussian Mixture Model Based on Prior Probability Factor for MR Brain Image Segmentation
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811501838
SocProS (2)
SocProS (2)
Computer-aided algorithms play an inevitable role in medical field for disease diagnosis and preplanning for surgery. The improved Gaussian mixture model based on prior probability factor was proposed here for the segmentation of white matter (WM), g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2eb463dc6fddb7fffcef8527909a0954
https://doi.org/10.1007/978-981-15-0184-5_46
https://doi.org/10.1007/978-981-15-0184-5_46
Autor:
J. V. Alexy John, A. Lenin Fred, H. Ajay Kumar, W. Abisha, Subbiahpillai Neelakantapillai Kumar
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811501838
SocProS (2)
SocProS (2)
This research work proposes unimodal image registration based on genetic algorithm. The intensity-based image registration is employed here, and normalized cross-correlation is used as the similarity index, and for choosing the optimal values of imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be2e782267029063da17b3c2a2fb0b6b
https://doi.org/10.1007/978-981-15-0184-5_47
https://doi.org/10.1007/978-981-15-0184-5_47
Publikováno v:
Journal of Medical Systems. 42
The role of compression is vital in telemedicine for the storage and transmission of medical images. This work is based on Contextual Vector Quantization (CVQ) compression algorithm with codebook optimization by Simulated Annealing (SA) for the compr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4df05060776292175d4f778c92b3694
https://doi.org/10.1007/s10916-018-1090-7
https://doi.org/10.1007/s10916-018-1090-7