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 …
Is attention all you need in medical image analysis? A review.
Medical imaging is a key component in clinical diagnosis, treatment planning and clinical
trial design, accounting for almost 90% of all healthcare data. CNNs achieved performance …
trial design, accounting for almost 90% of all healthcare data. CNNs achieved performance …
Attention fusion network for multi-spectral semantic segmentation
J Xu, K Lu, H Wang - Pattern Recognition Letters, 2021 - Elsevier
To improve the accuracy of multi-spectral semantic segmentation, an attention fusion
network (AFNet) based on deep learning is proposed. Different from current methods, the …
network (AFNet) based on deep learning is proposed. Different from current methods, the …
Convolution neural networks for optical coherence tomography (OCT) image classification
K Karthik, M Mahadevappa - Biomedical Signal Processing and Control, 2023 - Elsevier
Optical coherence tomography (OCT) is an imaging modality used to obtain a cross-
sectional image of the retina for retinal disease diagnosis. Modern diagnosis systems use …
sectional image of the retina for retinal disease diagnosis. Modern diagnosis systems use …
Computer aided diagnosis of diabetic macular edema in retinal fundus and OCT images: A review
KC Pavithra, P Kumar, M Geetha… - Biocybernetics and …, 2023 - Elsevier
Abstract Diabetic Macular Edema (DME) is a potentially blinding consequence of Diabetic
Retinopathy (DR) as well as the leading cause of vision loss in diabetics. DME is …
Retinopathy (DR) as well as the leading cause of vision loss in diabetics. DME is …
Kernelized convolutional transformer network based driver behavior estimation for conflict resolution at unsignalized roundabout
The modeling of driver behavior plays an essential role in developing Advanced Driver
Assistance Systems (ADAS) to support the driver in various complex driving scenarios. The …
Assistance Systems (ADAS) to support the driver in various complex driving scenarios. The …
B-scan attentive CNN for the classification of retinal optical coherence tomography volumes
Optical coherence tomography (OCT) enables 3D cross-sectional imaging of the retinal
tissues and has become an essential tool for the diagnosis of eye diseases. Clinically, the …
tissues and has become an essential tool for the diagnosis of eye diseases. Clinically, the …
Computer-aided diagnosis through medical image retrieval in radiology
W Silva, T Gonçalves, K Härmä, E Schröder… - Scientific reports, 2022 - nature.com
Currently, radiologists face an excessive workload, which leads to high levels of fatigue, and
consequently, to undesired diagnosis mistakes. Decision support systems can be used to …
consequently, to undesired diagnosis mistakes. Decision support systems can be used to …
Automatic diagnosis of macular diseases from OCT volume based on its two-dimensional feature map and convolutional neural network with attention mechanism
Y Sun, H Zhang, X Yao - Journal of Biomedical Optics, 2020 - spiedigitallibrary.org
Significance: Automatic and accurate classification of three-dimensional (3-D) retinal optical
coherence tomography (OCT) images is essential for assisting ophthalmologist in the …
coherence tomography (OCT) images is essential for assisting ophthalmologist in the …
Automated classification of retinal OCT images using a deep multi-scale fusion CNN
The automated analysis of optical coherence tomography (OCT) images can play a crucial
role in the diagnosis and management of retinal diseases. The wide variations of the retinal …
role in the diagnosis and management of retinal diseases. The wide variations of the retinal …