[HTML][HTML] Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review

S Rani, A Kataria, S Kumar, P Tiwari - Knowledge-based systems, 2023 - Elsevier
Recent developments in the Internet of Things (IoT) and various communication
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …

Deep learning techniques for diabetic retinopathy classification: A survey

MZ Atwany, AH Sahyoun, M Yaqub - IEEE Access, 2022 - ieeexplore.ieee.org
Diabetic Retinopathy (DR) is a degenerative disease that impacts the eyes and is a
consequence of Diabetes mellitus, where high blood glucose levels induce lesions on the …

A novel transfer learning based approach for pneumonia detection in chest X-ray images

V Chouhan, SK Singh, A Khamparia, D Gupta… - Applied Sciences, 2020 - mdpi.com
Pneumonia is among the top diseases which cause most of the deaths all over the world.
Virus, bacteria and fungi can all cause pneumonia. However, it is difficult to judge the …

[HTML][HTML] Medical deep learning—A systematic meta-review

J Egger, C Gsaxner, A Pepe, KL Pomykala… - Computer methods and …, 2022 - Elsevier
Deep learning has remarkably impacted several different scientific disciplines over the last
few years. For example, in image processing and analysis, deep learning algorithms were …

An internet-of-medical-things-enabled edge computing framework for tackling COVID-19

MA Rahman, MS Hossain - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Capturing psychological, emotional, and physiological states, especially during a pandemic,
and leveraging the captured sensory data within the pandemic management ecosystem is …

A benchmark for studying diabetic retinopathy: segmentation, grading, and transferability

Y Zhou, B Wang, L Huang, S Cui… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
People with diabetes are at risk of develo** an eye disease called diabetic retinopathy
(DR). This disease occurs when high blood glucose levels cause damage to blood vessels …

[HTML][HTML] Deep learning for diabetic retinopathy detection and classification based on fundus images: A review

N Tsiknakis, D Theodoropoulos, G Manikis… - Computers in biology …, 2021 - Elsevier
Diabetic Retinopathy is a retina disease caused by diabetes mellitus and it is the leading
cause of blindness globally. Early detection and treatment are necessary in order to delay or …

A novel approach for diabetic retinopathy screening using asymmetric deep learning features

PK Jena, B Khuntia, C Palai, M Nayak… - Big Data and Cognitive …, 2023 - mdpi.com
Automatic screening of diabetic retinopathy (DR) is a well-identified area of research in the
domain of computer vision. It is challenging due to structural complexity and a marginal …

Deep learning for diabetic retinopathy analysis: a review, research challenges, and future directions

MW Nadeem, HG Goh, M Hussain, SY Liew… - Sensors, 2022 - mdpi.com
Deep learning (DL) enables the creation of computational models comprising multiple
processing layers that learn data representations at multiple levels of abstraction. In the …

Deep learning approach to diabetic retinopathy detection

B Tymchenko, P Marchenko, D Spodarets - arxiv preprint arxiv …, 2020 - arxiv.org
Diabetic retinopathy is one of the most threatening complications of diabetes that leads to
permanent blindness if left untreated. One of the essential challenges is early detection …