Medical images classification using deep learning: a survey
R Kumar, P Kumbharkar, S Vanam… - Multimedia Tools and …, 2024 - Springer
Deep learning has made significant advancements in recent years. The technology is
rapidly evolving and has been used in numerous automated applications with minimal loss …
rapidly evolving and has been used in numerous automated applications with minimal loss …
Quality evaluation methods of chinese medicine based on scientific supervision: recent research progress and prospects
Z Chen, CT Vong, T Zhang, C Yao, Y Wang, H Luo - Chinese Medicine, 2023 - Springer
Traditional Chinese medicine (TCM) is increasingly getting attention worldwide, as it has
played a very satisfactory role in treating COVID-19 during these past 3 years, and the …
played a very satisfactory role in treating COVID-19 during these past 3 years, and the …
A novel approach for fundus image enhancement
Fundus image enhancement is an essential and challenging pre-processing step for
automated diagnosis of ocular disorders. The enhancement works reported earlier were …
automated diagnosis of ocular disorders. The enhancement works reported earlier were …
Impact of generative modeling for fundus image augmentation with improved and degraded quality in the classification of glaucoma
R Leonardo, J Gonçalves, A Carreiro, B Simões… - IEEE …, 2022 - ieeexplore.ieee.org
Glaucoma is a heterogeneous group of diseases characterised by cupping of the optic nerve
head and visual field damage, starting with a progressive loss of vision that leads to …
head and visual field damage, starting with a progressive loss of vision that leads to …
Multi-target prediction for dummies using two-branch neural networks
Multi-target prediction (MTP) serves as an umbrella term for machine learning tasks that
concern the simultaneous prediction of multiple target variables. Classical instantiations are …
concern the simultaneous prediction of multiple target variables. Classical instantiations are …
Colorectal cancer segmentation using atrous convolution and residual enhanced unet
Colorectal cancer is a leading cause of death worldwide. However, early diagnosis
dramatically increases the chances of survival, for which it is crucial to identify the tumor in …
dramatically increases the chances of survival, for which it is crucial to identify the tumor in …
EfficientNetV2 based ensemble model for quality estimation of diabetic retinopathy images from DeepDRiD
Diabetic retinopathy (DR) is one of the major complications caused by diabetes and is
usually identified from retinal fundus images. Screening of DR from digital fundus images …
usually identified from retinal fundus images. Screening of DR from digital fundus images …
Small sample color fundus image quality assessment based on gcforest
H Liu, N Zhang, S Jin, D Xu, W Gao - Multimedia Tools and Applications, 2021 - Springer
Color fundus image quality greatly influence the doctors' diagnostic accuracy. However, the
problems of imbalance data and small sample are the key issues of the color fundus images …
problems of imbalance data and small sample are the key issues of the color fundus images …
Learning for retinal image quality assessment with label regularization
Abstract Background and Objective: The assessment of the image quality is crucial before
the computer-aided diagnosis of fundus images. This task is very challenging. Firstly, the …
the computer-aided diagnosis of fundus images. This task is very challenging. Firstly, the …
Objective quality assessment of medical images and videos: Review and challenges
Quality assessment is a key element for the evaluation of hardware and software involved in
image and video acquisition, processing, and visualization. In the medical field, user-based …
image and video acquisition, processing, and visualization. In the medical field, user-based …