Zobrazeno 1 - 10 of 12 pro vyhledávání: '"C. Jaspin Jeba Sheela"'
1
Akademický článek
Automatic Brain Tumor Segmentation from MRI using Greedy Snake Model and Fuzzy C-Means Optimization
Autor: C. Jaspin Jeba Sheela, G. Suganthi
Publikováno v: Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 3, Pp 557-566 (2022)
The automatic brain tumor segmentation in MRI (Magnetic Resonance Images) is becoming a challenging task in the field of medicine, since the brain tumor occurs in different shapes, intensities and sizes. This paper proposes an efficient automatic bra
Externí odkaz: https://doaj.org/article/60ae33cfe4884e6ab64fc26ec70e66e8
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2
Akademický článek
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3
Red lesion in fundus image with hexagonal pattern feature and two-level segmentation
Autor: D, Latha, T Beula, Bell, C Jaspin Jeba, Sheela
Publikováno v: Multimedia Tools and Applications. 81:26143-26161
Red lesion identification at its early stage is very essential for the treatment of diabetic retinopathy to prevent loss of vision. This work proposes a red lesion detection algorithm that uses Hexagonal pattern-based features with two-level segmenta
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5107bb5deb8985df4cb59161bb671899
https://doi.org/10.1007/s11042-022-12667-9
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5
Automatic Brain Tumor Segmentation from MRI using Greedy Snake Model and Fuzzy C-Means Optimization
Autor: G. Suganthi, C. Jaspin Jeba Sheela
Publikováno v: Journal of King Saud University - Computer and Information Sciences. 34:557-566
The automatic brain tumor segmentation in MRI (Magnetic Resonance Images) is becoming a challenging task in the field of medicine, since the brain tumor occurs in different shapes, intensities and sizes. This paper proposes an efficient automatic bra
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4fa88732c12b1a1cb26280845a9cdabc
https://doi.org/10.1016/j.jksuci.2019.04.006
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8
Brain tumor segmentation with radius contraction and expansion based initial contour detection for active contour model
Autor: C. Jaspin Jeba Sheela, G. Suganthi
Publikováno v: Multimedia Tools and Applications. 79:23793-23819
This paper proposes a novel brain tumor segmentation algorithm that uses Active Contour Model and Fuzzy-C-Means optimization. In Active Contour model, the initial Contour selection is a challenging task for MRI brain tumor segmentation because the ac
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::03ab1e9478036170a1bde92bf9154e88
https://doi.org/10.1007/s11042-020-09006-1
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9
Morphological edge detection and brain tumor segmentation in Magnetic Resonance (MR) images based on region growing and performance evaluation of modified Fuzzy C-Means (FCM) algorithm
Autor: G. Suganthi, C. Jaspin Jeba Sheela
Publikováno v: Multimedia Tools and Applications. 79:17483-17496
The medical image processing has become indispensable with an increased demand for systematic and efficient detection of brain tumor in a short period of time. There are various techniques for medical image segmentation. Detecting a wide variety of b
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cc387a82a5ff869e96c29bf656d0c8f0
https://doi.org/10.1007/s11042-020-08636-9
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