Zobrazeno 1 - 10
of 14
pro vyhledávání: '"P. Sebastin Varghese"'
Publikováno v:
International Journal of Advanced Intelligence Paradigms. 24:156
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::194b0e139f98a32e7435112d3f47f993
https://doi.org/10.1504/ijaip.2023.128079
https://doi.org/10.1504/ijaip.2023.128079
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:
Computational Intelligence Methods for Super-Resolution in Image Processing Applications ISBN: 9783030679200
The storage and transfer of medical images play a crucial role due to the considerable data size, and, hence, the compression algorithm role is inevitable in telemedicine. This chapter proposes lossy and lossless compression schemes for the medical i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cf32f07fde4a614b1910526bf42eb63
https://doi.org/10.1007/978-3-030-67921-7_6
https://doi.org/10.1007/978-3-030-67921-7_6
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:
Studies in Computational Intelligence ISBN: 9789811389290
The application of computer-aided algorithms for disease diagnosis and treatment is gaining prominent in the past years, and the role of machine learning algorithms is inevitable. This chapter focuses on the segmentation of liver and anomalies like t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::376cb0f6f9bfcb7c1d8c5ac574b8443a
https://doi.org/10.1007/978-981-13-8930-6_7
https://doi.org/10.1007/978-981-13-8930-6_7
Publikováno v:
ICTMI 2017 ISBN: 9789811314766
Purpose The role of image compression is inevitable in telemedicine for the transfer of medical images. The diagnostic quality of the reconstructed image plays a vital role, and hence, the choice of compression algorithm is necessary. The medical ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69c2a129b2f46396cc8b0fd5297a9a12
https://doi.org/10.1007/978-981-13-1477-3_5
https://doi.org/10.1007/978-981-13-1477-3_5
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
Publikováno v:
Intelligent Systems Reference Library ISBN: 9783319960012
The segmentation is the process of extraction of the desired region of interest. In medical images, the anatomical organs and anomalies like a tumor, cysts, etc. are of importance for the diagnosis of diseases by physicians for telemedicine applicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6aec7ab67d327b0bfa189552430a8590
https://doi.org/10.1007/978-3-319-96002-9_1
https://doi.org/10.1007/978-3-319-96002-9_1
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811086328
Image segmentation plays a vital role in medical image processing for the delineation of anatomical organs and analysis of anomalies. The evaluation of segmentation algorithms is vital to select the appropriate algorithm and parameters for optimum pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f285a8918fe2e4d2af9a70e037f0ab8
https://doi.org/10.1007/978-981-10-8633-5_45
https://doi.org/10.1007/978-981-10-8633-5_45
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