Deep learning models and traditional automated techniques for brain tumor segmentation in MRI: a review
Brain is an amazing organ that controls all activities of a human. Any abnormality in the
shape of anatomical regions of the brain needs to be detected as early as possible to reduce …
shape of anatomical regions of the brain needs to be detected as early as possible to reduce …
Novel transfer learning approach for medical imaging with limited labeled data
Deep learning requires a large amount of data to perform well. However, the field of medical
image analysis suffers from a lack of sufficient data for training deep learning models …
image analysis suffers from a lack of sufficient data for training deep learning models …
An efficient deep learning approach to automatic glaucoma detection using optic disc and optic cup localization
Glaucoma is an eye disease initiated due to excessive intraocular pressure inside it and
caused complete sightlessness at its progressed stage. Whereas timely glaucoma screening …
caused complete sightlessness at its progressed stage. Whereas timely glaucoma screening …
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 …
A novel deep learning method for recognition and classification of brain tumors from MRI images
A brain tumor is an abnormal growth in brain cells that causes damage to various blood
vessels and nerves in the human body. An earlier and accurate diagnosis of the brain tumor …
vessels and nerves in the human body. An earlier and accurate diagnosis of the brain tumor …
Detection of diabetic eye disease from retinal images using a deep learning based CenterNet model
Diabetic retinopathy (DR) is an eye disease that alters the blood vessels of a person
suffering from diabetes. Diabetic macular edema (DME) occurs when DR affects the macula …
suffering from diabetes. Diabetic macular edema (DME) occurs when DR affects the macula …
A computer-aided diagnosis system for detecting various diabetic retinopathy grades based on a hybrid deep learning technique
Diabetic retinopathy (DR) is a serious disease that may cause vision loss unawares without
any alarm. Therefore, it is essential to scan and audit the DR progress continuously. In this …
any alarm. Therefore, it is essential to scan and audit the DR progress continuously. In this …
Mayfly optimization with deep learning enabled retinal fundus image classification model
Retinal fundus images are widely employed to screen for various eye diseases, giving them
significant clinical importance. Investigation of medical images has been considerably …
significant clinical importance. Investigation of medical images has been considerably …
DCNet: DenseNet-77-based CornerNet model for the tomato plant leaf disease detection and classification
Early recognition of tomato plant leaf diseases is mandatory to improve the food yield and
save agriculturalists from costly spray procedures. The correct and timely identification of …
save agriculturalists from costly spray procedures. The correct and timely identification of …
Contrast enhancement of fundus images by employing modified PSO for improving the performance of deep learning models
Computer-Aided diagnosis (CAD) is a widely used technique to detect and diagnose
diseases like tumors, cancers, edemas, etc. Several critical retinal diseases like diabetic …
diseases like tumors, cancers, edemas, etc. Several critical retinal diseases like diabetic …