Hyperparameter tuning deep learning for diabetic retinopathy fundus image classification

K Shankar, Y Zhang, Y Liu, L Wu, CH Chen - IEEE access, 2020 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is a major reason for the increased visual loss globally, and it
became an important cause of visual impairment among people in 25-74 years of age. The …

Vision Transformer‐based recognition of diabetic retinopathy grade

J Wu, R Hu, Z Xiao, J Chen, J Liu - Medical Physics, 2021 - Wiley Online Library
Background In the domain of natural language processing, Transformers are recognized as
state‐of‐the‐art models, which opposing to typical convolutional neural networks (CNNs) do …

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 …

A review of automated bioacoustics and general acoustics classification research

L Mutanu, J Gohil, K Gupta, P Wagio, G Kotonya - Sensors, 2022 - mdpi.com
Automated bioacoustics classification has received increasing attention from the research
community in recent years due its cross-disciplinary nature and its diverse application …

Moth search: Variants, hybrids, and applications

J Li, YH Yang, Q An, H Lei, Q Deng, GG Wang - Mathematics, 2022 - mdpi.com
Moth search (MS) is a nature-inspired metaheuristic optimization algorithm based on the
most representative characteristics of moths, Lévy flights and phototaxis. Phototaxis signifies …

An enhanced swarm optimization-based deep neural network for diabetic retinopathy classification in fundus images

AM Dayana, WRS Emmanuel - Multimedia Tools and Applications, 2022 - Springer
Diabetic Retinopathy (DR) is one of the long-lasting Diabetic retinal disorders that leads to
vision impairment eventually blindness in most of the working-age population. The process …

A unified technique for entropy enhancement based diabetic retinopathy detection using hybrid neural network

M Imran, A Ullah, M Arif, R Noor - Computers in Biology and Medicine, 2022 - Elsevier
In this paper, a unified technique for entropy enhancement-based diabetic retinopathy
detection using a hybrid neural network is proposed for diagnosing diabetic retinopathy …

MFCNet: A multi-modal fusion and calibration networks for 3D pancreas tumor segmentation on PET-CT images

F Wang, C Cheng, W Cao, Z Wu, H Wang… - Computers in Biology …, 2023 - Elsevier
In clinical diagnosis, positron emission tomography and computed tomography (PET-CT)
images containing complementary information are fused. Tumor segmentation based on …

Optimizing deep learning model parameters using socially implemented IoMT systems for diabetic retinopathy classification problem

A Kukkar, D Gupta, SM Beram, M Soni… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is on the increase nowadays due to the high sugar level in the
blood, and it is the reason for blindness that mainly occurs in middle-aged people …

An intelligent particle swarm optimization with convolutional neural network for diabetic retinopathy classification model

J Jayanthi, T Jayasankar, N Krishnaraj… - Journal of Medical …, 2021 - ingentaconnect.com
Diabetic retinopathy (DR), a major cause of vision loss and it raises a major issue among
diabetes people. DR considerably affect the financial condition of the society specially in …