Deep learning models and traditional automated techniques for brain tumor segmentation in MRI: a review

P Jyothi, AR Singh - Artificial intelligence review, 2023 - Springer
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 …

Deep learning for diabetic retinopathy assessments: a literature review

A Skouta, A Elmoufidi, S Jai-Andaloussi… - Multimedia Tools and …, 2023 - Springer
Diabetic retinopathy (DR) is the most important complication of diabetes. Early diagnosis by
performing retinal image analysis helps avoid visual loss or blindness. A computer-aided …

Novel transfer learning approach for medical imaging with limited labeled data

L Alzubaidi, M Al-Amidie, A Al-Asadi, AJ Humaidi… - Cancers, 2021 - mdpi.com
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 …

An efficient deep learning approach to automatic glaucoma detection using optic disc and optic cup localization

M Nawaz, T Nazir, A Javed, U Tariq, HS Yong… - Sensors, 2022 - mdpi.com
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 …

[HTML][HTML] Detection of diabetic eye disease from retinal images using a deep learning based CenterNet model

T Nazir, M Nawaz, J Rashid, R Mahum, M Masood… - Sensors, 2021 - mdpi.com
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 …

[HTML][HTML] A novel deep learning method for recognition and classification of brain tumors from MRI images

M Masood, T Nazir, M Nawaz, A Mehmood, J Rashid… - Diagnostics, 2021 - mdpi.com
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 …

A computer-aided diagnosis system for detecting various diabetic retinopathy grades based on a hybrid deep learning technique

E AbdelMaksoud, S Barakat, M Elmogy - Medical & Biological …, 2022 - Springer
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 …

A novel early detection and prevention of coronary heart disease framework using hybrid deep learning model and neural fuzzy inference system

B Ramesh, K Lakshmanna - IEEE Access, 2024 - ieeexplore.ieee.org
Diabetes is the “mother of all diseases” as it affects multiple organs of body of an individual
in some way. Its timely detection and management are critically important. Otherwise, the …

Contrast enhancement of fundus images by employing modified PSO for improving the performance of deep learning models

K Aurangzeb, S Aslam, M Alhussein, RA Naqvi… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

DCNet: DenseNet-77-based CornerNet model for the tomato plant leaf disease detection and classification

S Albahli, M Nawaz - Frontiers in plant science, 2022 - frontiersin.org
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 …