Ashish Issac

Orcid: 0000-0002-3530-8246

According to our database1, Ashish Issac authored at least 19 papers between 2015 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Automatic computer vision-based detection and quantitative analysis of indicative parameters for grading of diabetic retinopathy.
Neural Comput. Appl., 2020

2019
Automated Framework for Screening of Glaucoma Through Cloud Computing.
J. Medical Syst., 2019

An Adaptive Algorithm for Detection of Exudates Based on Localized Properties of Fundus Images.
Int. J. E Health Medical Commun., 2019

An automated computer vision based preliminary study for the identification of a heavy metal (Hg) exposed fish-<i>channa punctatus</i>.
Comput. Biol. Medicine, 2019

Imaging method for noise removal and segmentation of skin lesions from dermoscopic images.
Proceedings of the 2nd International Conference on Applications of Intelligent Systems, 2019

2018
An automated and robust image processing algorithm for glaucoma diagnosis from fundus images using novel blood vessel tracking and bend point detection.
Int. J. Medical Informatics, 2018

Image processing based acrylamide detection from fried potato chip images using continuous wavelet transform.
Comput. Electron. Agric., 2018

Computer Vision Technique for Scene Captioning to Provide Assistance to Visually Impaired.
Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018

Computer Vision Method for Grading of Health of a Fundus Image on Basis of Presence of Red Lesions.
Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018

2017
Computer vision based method for quality and freshness check for fish from segmented gills.
Comput. Electron. Agric., 2017

Automated skin lesion segmentation using K-Means clustering from digital dermoscopic images.
Proceedings of the 40th International Conference on Telecommunications and Signal Processing, 2017

Automated classification of exudates from digital fundus images.
Proceedings of the International Conference and Workshop on Bioinspired Intelligence, 2017

Adaptive Thresholding for Skin Lesion Segmentation Using Statistical Parameters.
Proceedings of the 31st International Conference on Advanced Information Networking and Applications Workshops, 2017

2016
An efficient imaging technique for automated macula localization from fundus images.
Proceedings of the 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2016

An automated imaging algorithm for macula detection in fundus images.
Proceedings of the Ninth International Conference on Contemporary Computing, 2016

Automated detection of bright lesions from contrast normalized fundus images.
Proceedings of the Ninth International Conference on Contemporary Computing, 2016

An efficient automated method for exudates segmentation using image normalization and histogram analysis.
Proceedings of the Ninth International Conference on Contemporary Computing, 2016

Automatic imaging method for optic disc segmentation using morphological techniques and active contour fitting.
Proceedings of the Ninth International Conference on Contemporary Computing, 2016

2015
An adaptive threshold based image processing technique for improved glaucoma detection and classification.
Comput. Methods Programs Biomed., 2015


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