Zobrazeno 1 - 10
of 21
pro vyhledávání: '"M. V. Sudhamani"'
Autor:
M. V. Sudhamani, K. Bhavanishankar
Publikováno v:
The Open Biomedical Engineering Journal. 13:120-126
Objective: Lung cancer is proving to be one of the deadliest diseases that is haunting mankind in recent years. Timely detection of the lung nodules would surely enhance the survival rate. This paper focusses on the classification of candidate lung n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3660d5277f444b2c53e967dd1933eaab
https://doi.org/10.2174/1874120701913010120
https://doi.org/10.2174/1874120701913010120
Autor:
M V Sudhamani, Rajkumar Raj
Publikováno v:
Advances in Image and Video Processing. 7:09-21
In today’s digital era, several of the image retrieval systems focus on retrieving images using features from images themselves such as color, shape and textures and are referred as low-level features. In this proposed work, the features like color
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1bed45923377b567d474a7caedddd45
https://doi.org/10.14738/aivp.75.7208
https://doi.org/10.14738/aivp.75.7208
Autor:
Hema N Shekar, M V Sudhamani
Publikováno v:
Advances in Image and Video Processing. 8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f7860b79bcaa5ecaa816fcb6680a4e4
https://doi.org/10.14738/aivp.83.8451
https://doi.org/10.14738/aivp.83.8451
Autor:
M. V. Sudhamani, K. Bhavanishankar
Publikováno v:
Computational Vision and Bio-Inspired Computing ISBN: 9783030372170
Computer Aided Diagnosis (CAD) systems provide a great assistance to the radiologists in screening the CT scans of lung cancer patients in identifying and classifying the lung nodules. The decision of the CAD systems can be further improved with the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69c61f5b57527f20bdfde8436262941d
https://doi.org/10.1007/978-3-030-37218-7_64
https://doi.org/10.1007/978-3-030-37218-7_64
Autor:
R Rajkumar, M V Sudhamani
Publikováno v:
2019 1st International Conference on Advances in Information Technology (ICAIT).
In today’s world, large amount of digital image data is generated and stored in the repository. Finding for a particular image/s accurately in the repository poses the challenge. The aim of the proposed work is to search for relevant images from th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be9ef5e776115b1dc0f7c90ff5e6bdf5
https://doi.org/10.1109/icait47043.2019.8987302
https://doi.org/10.1109/icait47043.2019.8987302
Autor:
H. Kavitha, M. V. Sudhamani
Publikováno v:
Journal of Intelligent Systems, Vol 25, Iss 3, Pp 441-454 (2016)
In this work, we present a combination of edge feature and distribution of the gradient orientation of an object technique for content-based image retrieval (CBIR). First, the bidimensional empirical mode decomposition (BEMD) technique is employed to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::693383b97beb2ad210746edd029d1863
https://doi.org/10.1515/jisys-2014-0088
https://doi.org/10.1515/jisys-2014-0088
Autor:
K. Bhavanishankar, M. V. Sudhamani
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811090585
Cancer is considered to be one of the threat causing disease to human health. Amongst the various types of cancers, the one which originates in lung is most fatal. Lung cancer appears in the form of nodules and is caused by anomalous growth of cells
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::093bec318cce74d0f5478c548d25e340
https://doi.org/10.1007/978-981-10-9059-2_7
https://doi.org/10.1007/978-981-10-9059-2_7
Autor:
M. V. Sudhamani, H. L. Aravinda
Publikováno v:
2017 International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT).
Accurate tumor segmentation from CT scans of liver is a crucial stage in diagnosis. We have proposed a novel framework for automatic segmentation of tumor using Simple Linear Iterative Clustering (SLIC) technique. This approach generates super pixels
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cad47d1b7e4dbb9e3c488cbd73a7750c
https://doi.org/10.1109/icraect.2017.18
https://doi.org/10.1109/icraect.2017.18
Publikováno v:
International Journal of Research in Engineering and Technology. :33-37
Images from the minute it was invented, has had an immense impact on the world we live in. The extract ing the required images from the World Wide Web (WWW) is very difficult because web contains a huge number of images. To solve this problem we need
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89ca284727fc90da7aa53f29f5c16649
https://doi.org/10.15623/ijret.2013.0211006
https://doi.org/10.15623/ijret.2013.0211006
Autor:
M. V. Sudhamani, H. Kavitha
Publikováno v:
International Journal of Computer Applications. 76:38-42
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09823374775e9770ff258ec5433ffddd
https://doi.org/10.5120/13270-0798
https://doi.org/10.5120/13270-0798