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Ramkumar, B.
- Neural Network Based Diagnosis of Glaucoma
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Authors
Affiliations
1 Computer Science and Engineering Department, Annamalai University, Chidambaram, Tamil Nadu, IN
1 Computer Science and Engineering Department, Annamalai University, Chidambaram, Tamil Nadu, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 5, No 3 (2013), Pagination: 145-148Abstract
Glaucoma is one of the major reasons for blindness. Untreated glaucoma can lead to permanent damage of the optic nerve and resultant visual field loss, which over time can progress to blindness. For this reason, early detection of glaucoma is essential for affected patients. This paper is focused on classifying glaucoma with image-based features from fundus photographs. So in this work, we have detected the glaucoma disease in the retinal optical images. The extent of the disease spread can be identified by extracting the features of the retina. Detection of the disease is done using Probabilistic Neural Network (PNN) classifier. The accuracy of the proposed system is 94.54 %.Keywords
Retina, Probabilistic Neural Network, Accuracy, Sensitivity, Specificity.- Weight-Length Relationship and Fulton's Condition Factor of the Alligator Pipefish, Syngnathoides biaculeatus (Bloch, 1785) from the Southeast Coast of India
Abstract Views :219 |
PDF Views:79
Authors
Affiliations
1 Aquaculture Laboratory, CSIR-National Institute of Oceanography, Goa 403 004, IN
2 Department of Marine Sciences, Goa University, Goa 403 206, IN
3 Department of Marine and Coastal Studies, Madurai Kamaraj University, Pudumadam 623 524, IN
1 Aquaculture Laboratory, CSIR-National Institute of Oceanography, Goa 403 004, IN
2 Department of Marine Sciences, Goa University, Goa 403 206, IN
3 Department of Marine and Coastal Studies, Madurai Kamaraj University, Pudumadam 623 524, IN
Source
Current Science, Vol 113, No 08 (2017), Pagination: 1605-1609Abstract
The present study provides information on weight- length relationship (WLR) and Fulton's condition factor (K) of the alligator pipefish, Syngnathoides biaculeatus (Bloch, 1785) sampled from Palk Bay (PB) and Gulf of Mannar (GoM) regions, southeast coast of India. The pooled estimate for the parameter b of the WLR for S. biaculeatus (n = 217) was determined to be 1.75, indicating the negative allometric growth pattern (b < 3). The K values ranged from 0.65 to 1.35 (pooled, 0.84) and from 0.68 to 1.27 (pooled, 0.85) for populations of S. biaculeatus collected from PB (n = 120) and GoM (n = 97) respectively. The results may help address the concerns of conservation of S. biaculeatus in the wake of habitat loss and/or incidental by-catch.Keywords
Allometric Growth Pattern, Condition Factor, Population biology, Syngnathoides Biaculeatus, Weight–Length Relationship.References
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