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pro vyhledávání: '"Rajeswari Mandava"'
Autor:
Achuthan, Anusha1 anusha@usm.my, Rajeswari, Mandava2
Publikováno v:
Malaysian Journal of Medicine & Health Sciences. Dec2018 Supplement 1, Vol. 14, p190-200. 11p.
Autor:
Bong, Chin-Wei, Rajeswari, Mandava
Publikováno v:
In Applied Soft Computing Journal 2011 11(4):3271-3282
Akademický článek
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Autor:
Achuthan, Anusha, Rajeswari, Mandava, Ramachandram, Dhanesh, Aziz, Mohd Ezane, Shuaib, Ibrahim Lutfi
Publikováno v:
In Computers in Biology and Medicine 2010 40(7):608-620
Autor:
Rajeswari Mandava, Khai Yin Lim
Publikováno v:
Expert Systems with Applications. 112:288-300
Accurate Magnetic Resonance Imaging (MRI) image segmentation is a clinically challenging task. More often than not, one type of MRI image is insufficient to provide the complete information about a pathological tissue or a visual object from the imag
Publikováno v:
In Applied Soft Computing Journal 2006 6(2):139-153
Autor:
Rajeswari Mandava, Khai-Yin Lim
Publikováno v:
AEU - International Journal of Electronics and Communications. 77:50-56
In image segmentation, image is divided into regions of similar pixels that satisfy a defined notion of similarity. The complexity of image segmentation is further increased when the separation between neighboring regions is ambiguous. In this paper,
In this work, a liver tumor segmentation approach is proposed using triplanar views, consisting of axial, sagittal and coronal planes. These three planes are integrated as the input streams for the Convolutional Neural Network (ConvNet). The main obj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::971e677d6fb7c969fdad680f6a20daf8
https://doi.org/10.1007/978-981-13-6447-1_77
https://doi.org/10.1007/978-981-13-6447-1_77
Publikováno v:
In Applied Soft Computing Journal 2003 3(3):237-257
Publikováno v:
In Applied Soft Computing Journal 2003 3(2):159-175