Securing AI‐based healthcare systems using blockchain technology: A state‐of‐the‐art systematic literature review and future research directions

R Shinde, S Patil, K Kotecha, V Potdar… - Transactions on …, 2024 - Wiley Online Library
Healthcare institutions are progressively integrating artificial intelligence (AI) into their
operations. The extraordinary potential of AI is restricted by insufficient medical data for AI …

Identification of diabetic retinopathy using weighted fusion deep learning based on dual-channel fundus scans

GU Nneji, J Cai, J Deng, HN Monday, MA Hossin… - Diagnostics, 2022 - mdpi.com
It is a well-known fact that diabetic retinopathy (DR) is one of the most common causes of
visual impairment between the ages of 25 and 74 around the globe. Diabetes is caused by …

Cardiovascular disease diagnosis from DXA scan and retinal images using deep learning

HRH Al-Absi, MT Islam, MA Refaee, MEH Chowdhury… - Sensors, 2022 - mdpi.com
Cardiovascular diseases (CVD) are the leading cause of death worldwide. People affected
by CVDs may go undiagnosed until the occurrence of a serious heart failure event such as …

Comparative analysis of diabetic retinopathy classification approaches using machine learning and deep learning techniques

R Bala, A Sharma, N Goel - Archives of Computational Methods in …, 2024 - Springer
Diabetic retinopathy (DR) is an eye disease caused due to excess of sugar in retinal blood
vessels and obstructs vision. Regular and timely diagnosis can prevent the severity of …

ResNet-34/DR: a residual convolutional neural network for the diagnosis of diabetic retinopathy

NM Almoosawi, RS Khudeyer - Informatica, 2021 - informatica.si
Diabetic retinopathy (DR) is an eye complication associated with diabetes, resulting in
blurred vision or blindness. The early diagnosis and treatment of DR can decrease the risk …

Transfer learning for diabetic retinopathy detection: a study of dataset combination and model performance

AM Mutawa, S Alnajdi, S Sruthi - Applied Sciences, 2023 - mdpi.com
Diabetes' serious complication, diabetic retinopathy (DR), which can potentially be life-
threatening, might result in vision loss in certain situations. Although it has no symptoms in …

DiaNet v2 deep learning based method for diabetes diagnosis using retinal images

HRH Al-Absi, A Pai, U Naeem, FK Mohamed, S Arya… - Scientific Reports, 2024 - nature.com
Diabetes mellitus (DM) is a prevalent chronic metabolic disorder linked to increased
morbidity and mortality. With a significant portion of cases remaining undiagnosed …

A regression-based approach to diabetic retinopathy diagnosis using efficientnet

M Vijayan - Diagnostics, 2023 - mdpi.com
The aim of this study is to develop a computer-assisted solution for the efficient and effective
detection of diabetic retinopathy (DR), a complication of diabetes that can damage the retina …

Retinal vascular image segmentation using improved UNet based on residual module

KW Huang, YR Yang, ZH Huang, YY Liu, SH Lee - Bioengineering, 2023 - mdpi.com
In recent years, deep learning technology for clinical diagnosis has progressed
considerably, and the value of medical imaging continues to increase. In the past, clinicians …

[PDF][PDF] A Secure IoT-Cloud Based Healthcare System for Disease Classification Using Neural Network.

M Vedaraj, P Ezhumalai - Computer Systems Science & Engineering, 2022 - academia.edu
The integration of the Internet of Things (IoT) and cloud computing is the most popular
growing technology in the IT world. IoT integrated cloud computing technology can be used …