Design a Novel Detection for Maculopathy Using Weightage KNN Classification

Author:

Pattebahadur Chetan,Manza Ramesh,Kamble Anupriya

Publisher

Springer Singapore

Reference17 articles.

1. American Diabetes Association: American Diabetes Association Copyright 1995–2018 [Internet]. http://www.diabetes.org/diabetes-basics/type-1/

2. Shodhganga. http://shodhganga.inflibnet.ac.in/bitstream/10603/3095/14/14_chapter%206.pdf

3. Noronha, K., Nayak, K.P.: Automated diagnosis of diabetes maculopathy: a survey. J. Med. Imaging Health Inform. 3, 1–8 (2013)

4. Structured Analysis of the Retina. http://cecas.clemson.edu/~ahoover/stare/

5. Staal, J.J., Abramoff, M.D., Niemeijer, M., Viergever, M.A., van Ginneken, B.: Ridge based vessel segmentation in color images of the retina. IEEE Trans. Med. Imaging 23, 501–509 (2004)

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1. Design Novel Detection of Exudates Using Wavelets Filter and Classification of Diabetic Maculopathy;Lecture Notes in Networks and Systems;2024

2. Design a Novel Detection Using KNN Classification Technique for Early Sign of Diabetic Maculopathy;Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022);2023

3. Detection and Counting of Microaneurysm for Early Diagnosis of Maculopathy;Rising Threats in Expert Applications and Solutions;2020-10-02

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