Deep learning and medical image processing techniques for diabetic retinopathy: a survey of applications, challenges, and future trends

P Uppamma, S Bhattacharya - Journal of Healthcare …, 2023 - Wiley Online Library
Diabetic retinopathy (DR) is a common eye retinal disease that is widely spread all over the
world. It leads to the complete loss of vision based on the level of severity. It damages both …

Deep learning models for digital image processing: a review

R Archana, PSE Jeevaraj - Artificial Intelligence Review, 2024 - Springer
Within the domain of image processing, a wide array of methodologies is dedicated to tasks
including denoising, enhancement, segmentation, feature extraction, and classification …

[PDF][PDF] Design of deep learning algorithm for IoT application by image based recognition

IJ Jacob, PE Darney - Journal of ISMAC, 2021 - academia.edu
ABSTRACT The Internet of Things (IoT) is an ecosystem comprised of multiple devices and
connections, a large number of users, and a massive amount of data. Deep learning is …

Convolutional neural network for stock trading using technical indicators

SK Chandar - Automated Software Engineering, 2022 - Springer
Stock market prediction is a very hot topic in financial world. Successful prediction of stock
market movement may promise high profits. However, an accurate prediction of stock …

Texture attention network for diabetic retinopathy classification

MD Alahmadi - IEEE Access, 2022 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) is a disease caused by a high level of glucose in retina vessels.
This malicious disease put millions of people around the world at risk for vision loss each …

[Retracted] A Deep Learning Framework for Earlier Prediction of Diabetic Retinopathy from Fundus Photographs

K Gunasekaran, R Pitchai… - BioMed Research …, 2022 - Wiley Online Library
Diabetic patients can also be identified immediately utilizing retinopathy photos, but it is a
challenging task. The blood veins visible in fundus photographs are used in several disease …

Classification and segmentation of diabetic retinopathy: a systemic review

N Shaukat, J Amin, MI Sharif, MI Sharif, S Kadry… - Applied Sciences, 2023 - mdpi.com
Diabetic retinopathy (DR) is a major reason of blindness around the world. The
ophthalmologist manually analyzes the morphological alterations in veins of retina, and …

Three-dimensional semantic segmentation of diabetic retinopathy lesions and grading using transfer learning

N Shaukat, J Amin, M Sharif, F Azam, S Kadry… - Journal of Personalized …, 2022 - mdpi.com
Diabetic retinopathy (DR) is a drastic disease. DR embarks on vision impairment when it is
left undetected. In this article, learning-based techniques are presented for the segmentation …

Exploring chatGPT'S potential for consultation, recommendations and report diagnosis: Gastric cancer and gastroscopy reports' case

J Zhou, T Li, SJ Fong, N Dey, RG Crespo - IJIMAI, 2023 - dialnet.unirioja.es
Artificial intelligence (AI) has shown its effectiveness in helping clinical users meet evolving
challenges. Recently, ChatGPT, a newly launched AI chatbot with exceptional text …

Deep learning approach for intrusion detection in IoT-multi cloud environment

D Selvapandian, R Santhosh - Automated Software Engineering, 2021 - Springer
The possibility of connecting billions of smart end devices in the Internet of Things (IoT)
provides wide range of services to the user. But, the unlimited connectivity of devices in IoT …