Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Pranaba K. Mishro"'
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:1172-1182
The limitation to the most commonly used histogram equalization (HE) technique is the inconsideration of the neighborhood info near each pixel for contrast enhancement. This gives rise to noise in the output image. To overcome this effect, a novel jo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::250d8cf31f9f4b19b5cdc74f7ee3ee2f
https://doi.org/10.1016/j.jksuci.2019.05.010
https://doi.org/10.1016/j.jksuci.2019.05.010
Publikováno v:
IEEE Reviews in Biomedical Engineering. 15:184-199
The accuracy of the magnetic resonance (MR) image diagnosis depends on the quality of the image, which degrades mainly due to noise and artifacts. The noise is introduced because of erroneous imaging environment or distortion in the transmission syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1ce0a0bc573dcd44a6d18520da8023f
https://doi.org/10.1109/rbme.2021.3055556
https://doi.org/10.1109/rbme.2021.3055556
Publikováno v:
Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences ISBN: 9789811987410
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04e6760021b705c38029186bb9966b1f
https://doi.org/10.1007/978-981-19-8742-7_13
https://doi.org/10.1007/978-981-19-8742-7_13
Publikováno v:
IEEE Transactions on Cybernetics. 51:3901-3912
The fuzzy $C$ -means (FCM) clustering procedure is an unsupervised form of grouping the homogenous pixels of an image in the feature space into clusters. A brain magnetic resonance (MR) image is affected by noise and intensity inhomogeneity (IIH) dur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6025388aaf172ee44c24a83f13ae5274
https://doi.org/10.1109/tcyb.2020.2994235
https://doi.org/10.1109/tcyb.2020.2994235
Publikováno v:
2022 International Conference on Connected Systems & Intelligence (CSI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddc607fe7cff64cc5f3482e4edbbeb43
https://doi.org/10.1109/csi54720.2022.9924000
https://doi.org/10.1109/csi54720.2022.9924000
Publikováno v:
Biocybernetics and Biomedical Engineering. 41:540-553
Low contrast is a challenging factor in brain magnetic resonance (MR) images due to its structural complexity. Histogram equalization (HE) approach is often used in enhancing the contrast in brain MR images. However, the spatial information is not ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb8000fc736c595c30146d6ef1e8f042
https://doi.org/10.1016/j.bbe.2021.04.003
https://doi.org/10.1016/j.bbe.2021.04.003
Publikováno v:
IET Image Processing. 14:1929-1936
Bias field correction is an essential pre-processing requirement for brain tissue segmentation task. Authentic brain tissue regions are highly useful for classification and detection of abnormalities. A poor resolution magnetic resonance (MR) image i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26edd53c3ff7e46e1790598755a85c6c
https://doi.org/10.1049/iet-ipr.2019.0942
https://doi.org/10.1049/iet-ipr.2019.0942
Publikováno v:
Algorithms for Intelligent Systems ISBN: 9789811657467
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80264217f33819db06e07210a5f22f8f
https://doi.org/10.1007/978-981-16-5747-4_16
https://doi.org/10.1007/978-981-16-5747-4_16
Publikováno v:
ICCCNT
Segmentation of brain magnetic resonance (MR) images is a vital requisite in health care applications. Spatial Fuzzy C-means (SFCM) clustering method segments the brain MR images degraded with noise and artifacts. Due to the iterative computation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ce6d1fd90a096296bc2c75661322ac8
https://doi.org/10.1109/icccnt51525.2021.9579961
https://doi.org/10.1109/icccnt51525.2021.9579961
Publikováno v:
Computers in Biology and Medicine. 147:105770
Medical attention has long been focused on diagnosing diseases through retinal vasculature. However, due to the image intensity inhomogeneity and retinal vessel thickness variability, segmenting the vessels from retinal images is still a tough matter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::087760a2a04df1f105b80c1cead8cf2c
https://doi.org/10.1016/j.compbiomed.2022.105770
https://doi.org/10.1016/j.compbiomed.2022.105770