Zobrazeno 1 - 10 of 44 pro vyhledávání: '"A. Celine Kavida"'
3
Optimized Ensemble Machine Learning-Based Diabetic Retinopathy Grading Using Multiple Region of Interest Analysis and Bayesian Approach
Autor: W. Nancy, A. Celine Kavida
Publikováno v: Journal of Medical Imaging and Health Informatics. 12:35-44
Diabetic Retinopathy (DR) is a critical abnormality in the retina mainly caused by diabetes. The early diagnosis of DR is essential to avoid painless blindness. The conventional DR diagnosis is manual and requires skilled Ophthalmologists. The Ophtha
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e05b92d0105d3d38847b6096381c63d5
https://doi.org/10.1166/jmihi.2022.3923
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4
RETRACTED ARTICLE: Extracting the cervical cancer cell region through super pixel segmentation
Autor: A. Celine Kavida, R. R. Prianka
Publikováno v: Journal of Ambient Intelligence and Humanized Computing. 13:2723-2733
The objective is to extract the extra space to find the malignant area. The image has been observed and extracted with various methodologies to find the exact nuclei of the cancer cells. Koilocytes cells were taken into consideration of analysis and
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a839ccaaea6ccfd0c496bcea7fa80781
https://doi.org/10.1007/s12652-021-03259-w
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7
RETRACTED ARTICLE: Pre-processing on remotely sensed data with unsupervised classification analysis
Autor: A. Celine Kavida, N. Bharatha Devi
Publikováno v: Journal of Ambient Intelligence and Humanized Computing. 12:6825-6839
The use of remote sensing and geographic information system (GIS) technologies grow drastically in recent years by ecologists around the globe. At present, using sophisticated sensors, there is a massive challenge in handling the high dense remotely
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bb76773260dcfc6a090ac2c7cca584f8
https://doi.org/10.1007/s12652-020-02317-z
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8
A pattern analysis based underwater video segmentation system for target object detection
Autor: M.Anto Bennet, A. Celine Kavida, M. Rajasekar
Publikováno v: Multidimensional Systems and Signal Processing. 31:1579-1602
Detecting and classifying the target objects in the underwater videos is the primary and essential operation in this modern era. The present works proposed the pattern extraction, segmentation and classification techniques for target object detection
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::11fdda3f4cadd7401f30cb062f21bff8
https://doi.org/10.1007/s11045-020-00721-4
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9
Geometric distortion and mixed pixel elimination via TDYWT image enhancement for precise spatial measurement to avoid land survey error modeling
Autor: N. R. Shanker, E. Ganesh, M. Prabu, A. Celine Kavida
Publikováno v: Soft Computing. 24:14687-14705
In remote sensing, land cover classification of vegetation and water area from satellite image play a vital role for rural and urban planning and development. Existing algorithms of land cover classification require more sample image datasets for tra
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::63e89c7d1a79ebd8fc9664630d49247d
https://doi.org/10.1007/s00500-020-04814-x
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