A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation
H Jiang, Z Diao, T Shi, Y Zhou, F Wang, W Hu… - Computers in Biology …, 2023 - Elsevier
Deep learning-based methods have become the dominant methodology in medical image
processing with the advancement of deep learning in natural image classification, detection …
processing with the advancement of deep learning in natural image classification, detection …
Recent trends and advances in fundus image analysis: A review
Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
Octnet: A lightweight cnn for retinal disease classification from optical coherence tomography images
Abstract Background and Objective Retinal diseases are becoming a major health problem
in recent years. Their early detection and ensuing treatment are essential to prevent visual …
in recent years. Their early detection and ensuing treatment are essential to prevent visual …
BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification
Automatic medical image analysis (eg, medical image classification) is widely used in the
early diagnosis of various diseases. The computer-aided diagnosis (CAD) systems enable …
early diagnosis of various diseases. The computer-aided diagnosis (CAD) systems enable …
Multi-scale convolutional neural network for automated AMD classification using retinal OCT images
Background and objective Age-related macular degeneration (AMD) is the most common
cause of blindness in developed countries, especially in people over 60 years of age. The …
cause of blindness in developed countries, especially in people over 60 years of age. The …
An interpretable transformer network for the retinal disease classification using optical coherence tomography
J He, J Wang, Z Han, J Ma, C Wang, M Qi - Scientific Reports, 2023 - nature.com
Retinal illnesses such as age-related macular degeneration and diabetic macular edema
will lead to irreversible blindness. With optical coherence tomography (OCT), doctors are …
will lead to irreversible blindness. With optical coherence tomography (OCT), doctors are …
Multi-modal retinal image classification with modality-specific attention network
Recently, automatic diagnostic approaches have been widely used to classify ocular
diseases. Most of these approaches are based on a single imaging modality (eg, fundus …
diseases. Most of these approaches are based on a single imaging modality (eg, fundus …
Medical Image Classification Utilizing Ensemble Learning and Levy Flight‐Based Honey Badger Algorithm on 6G‐Enabled Internet of Things
Recently, the 6G‐enabled Internet of Medical Things (IoMT) has played a key role in the
development of functional health systems due to the massive data generated daily from the …
development of functional health systems due to the massive data generated daily from the …
Application of semi-supervised learning in image classification: Research on fusion of labeled and unlabeled data
Deep learning has attracted wide attention recently because of its excellent feature
representation ability and end-to-end automatic learning method. Especially in clinical …
representation ability and end-to-end automatic learning method. Especially in clinical …
FN-OCT: Disease detection algorithm for retinal optical coherence tomography based on a fusion network
Z Ai, X Huang, J Feng, H Wang, Y Tao… - Frontiers in …, 2022 - frontiersin.org
Optical coherence tomography (OCT) is a new type of tomography that has experienced
rapid development and potential in recent years. It is playing an increasingly important role …
rapid development and potential in recent years. It is playing an increasingly important role …