Deep learning techniques for diabetic retinopathy classification: A survey
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 …
consequence of Diabetes mellitus, where high blood glucose levels induce lesions on the …
Algorithms for the automated detection of diabetic retinopathy using digital fundus images: a review
Diabetes is a chronic end organ disease that occurs when the pancreas does not secrete
enough insulin or the body is unable to process it properly. Over time, diabetes affects the …
enough insulin or the body is unable to process it properly. Over time, diabetes affects the …
Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images
Glaucoma progressively affects the optic nerve and may cause partial or complete vision
loss. Raised intravascular pressure is the only factor which can be modified to prevent …
loss. Raised intravascular pressure is the only factor which can be modified to prevent …
Brain tumor detection using statistical and machine learning method
Abstract Background and Objective Brain tumor occurs because of anomalous development
of cells. It is one of the major reasons of death in adults around the globe. Millions of deaths …
of cells. It is one of the major reasons of death in adults around the globe. Millions of deaths …
Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm
ESA El-Dahshan, HM Mohsen, K Revett… - Expert systems with …, 2014 - Elsevier
Computer-aided detection/diagnosis (CAD) systems can enhance the diagnostic capabilities
of physicians and reduce the time required for accurate diagnosis. The objective of this …
of physicians and reduce the time required for accurate diagnosis. The objective of this …
Glaucoma assessment from color fundus images using convolutional neural network
P Elangovan, MK Nath - International Journal of Imaging …, 2021 - Wiley Online Library
Early detection and proper screening are essential to prevent vision loss due to glaucoma.
In recent years, convolutional neural network (CNN) has been successfully applied to the …
In recent years, convolutional neural network (CNN) has been successfully applied to the …
Dual feature extraction based convolutional neural network classifier for magnetic resonance imaging tumor detection using U-Net and three-dimensional …
Abstract Analysis and monitoring of disease development rely heavily on automated
segmentation of brain tumors using MRI data. Because gliomas are aggressive and diverse …
segmentation of brain tumors using MRI data. Because gliomas are aggressive and diverse …
Computed-aided diagnosis (CAD) in the detection of breast cancer
C Dromain, B Boyer, R Ferre, S Canale… - European journal of …, 2013 - Elsevier
Computer-aided detection (CAD) systems have been developed for interpretation to improve
mammographic detection of breast cancer at screening by reducing the number of false …
mammographic detection of breast cancer at screening by reducing the number of false …
A review on recent developments for detection of diabetic retinopathy
J Amin, M Sharif, M Yasmin - Scientifica, 2016 - Wiley Online Library
Diabetic retinopathy is caused by the retinal micro vasculature which may be formed as a
result of diabetes mellitus. Blindness may appear as a result of unchecked and severe cases …
result of diabetes mellitus. Blindness may appear as a result of unchecked and severe cases …
Comparison of 3 deep learning neural networks for classifying the relationship between the mandibular third molar and the mandibular canal on panoramic …
M Fukuda, Y Ariji, Y Kise, M Nozawa, C Kuwada… - Oral surgery, oral …, 2020 - Elsevier
Objective The aim of this study was to compare time and storage space requirements,
diagnostic performance, and consistency among 3 image recognition convolutional neural …
diagnostic performance, and consistency among 3 image recognition convolutional neural …