A review of deep learning with special emphasis on architectures, applications and recent trends
Deep learning (DL) has solved a problem that a few years ago was thought to be intractable—
the automatic recognition of patterns in spatial and temporal data with an accuracy superior …
the automatic recognition of patterns in spatial and temporal data with an accuracy superior …
[HTML][HTML] Glaucoma diagnosis in the era of deep learning: A survey
Glaucoma, a leading cause of irreversible blindness worldwide, poses significant diagnostic
challenges due to its reliance on subjective evaluation. Recent advances in computer vision …
challenges due to its reliance on subjective evaluation. Recent advances in computer vision …
A computer-aided diagnosis system for the classification of COVID-19 and non-COVID-19 pneumonia on chest X-ray images by integrating CNN with sparse …
JL Gayathri, B Abraham, MS Sujarani… - Computers in biology and …, 2022 - Elsevier
Several infectious diseases have affected the lives of many people and have caused great
dilemmas all over the world. COVID-19 was declared a pandemic caused by a newly …
dilemmas all over the world. COVID-19 was declared a pandemic caused by a newly …
A novel hybrid approach based on deep CNN to detect glaucoma using fundus imaging
Glaucoma is one of the eye diseases stimulated by the fluid pressure that increases in the
eyes, damaging the optic nerves and causing partial or complete vision loss. As Glaucoma …
eyes, damaging the optic nerves and causing partial or complete vision loss. As Glaucoma …
Automated detection of heart valve diseases using chirplet transform and multiclass composite classifier with PCG signals
Heart valve diseases (HVDs) are a group of cardiovascular abnormalities, and the causes of
HVDs are blood clots, congestive heart failure, stroke, and sudden cardiac death, if not …
HVDs are blood clots, congestive heart failure, stroke, and sudden cardiac death, if not …
ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images
Glaucoma is an ocular disorder that affects the optic nerve and ultimately leads to partial or
complete vision loss. Hence, there is a strong need for early screening of glaucoma. Earlier …
complete vision loss. Hence, there is a strong need for early screening of glaucoma. Earlier …
Automated glaucoma screening method based on image segmentation and feature extraction
Glaucoma is a chronic disease that threatens eye health and can cause permanent
blindness. Since there is no cure for glaucoma, early screening and detection are crucial for …
blindness. Since there is no cure for glaucoma, early screening and detection are crucial for …
Performances of machine learning in detecting glaucoma using fundus and retinal optical coherence tomography images: a meta-analysis
Purpose To evaluate the performance of machine learning (ML) in detecting glaucoma using
fundus and retinal optical coherence tomography (OCT) images. Design Meta-analysis …
fundus and retinal optical coherence tomography (OCT) images. Design Meta-analysis …
Integrating enhanced sparse autoencoder-based artificial neural network technique and softmax regression for medical diagnosis
SA Ebiaredoh-Mienye, E Esenogho, TG Swart - Electronics, 2020 - mdpi.com
In recent times, several machine learning models have been built to aid in the prediction of
diverse diseases and to minimize diagnostic errors made by clinicians. However, since most …
diverse diseases and to minimize diagnostic errors made by clinicians. However, since most …
Automatic segmentation of optic disc in retinal fundus images using semi-supervised deep learning
S Bengani - Multimedia Tools and Applications, 2021 - Springer
Diseases of the eye require manual segmentation and examination of the optic disc by
ophthalmologists. Though, image segmentation using deep learning techniques is …
ophthalmologists. Though, image segmentation using deep learning techniques is …