Optimized Feature Selection Approach for Smartphone Based Diabetic Retinopathy Detection-Reference-Cited by-同舟云学术

Optimized Feature Selection Approach for Smartphone Based Diabetic Retinopathy Detection

Published:2022-02-23 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)
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Author:

Gupta Shubhi¹,Thakur Sanjeev¹,Gupta Ashutosh²

Affiliation:

1. Amity University,Uttar Pradesh,India

2. School of Sciences, Uttar Pradesh Rajarshi Tandon Open University,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9752773/9753815/09754021.pdf?arnumber=9754021

Reference48 articles.

1. An automated diagnosis of depression using three-channel bandwidth-duration localized wavelet filter bank with EEG signals

2. An accurate sleep stages classification system using a new class of optimally time-frequency localized three-band wavelet filter bank

3. Diabetic Retinopathy Detection Using Multi-layer Neural Networks and Split Attention with Focal Loss;usman;International Conference on Neural Information Processing,2020

4. Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction

5. Diabetic Retinopathy Classification Using A Hybrid and Efficient MobileNetV2-SVM Model;shidqie;2020 IEEE REGION 10 CONFERENCE (TENCON),2020

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