Classification and segmentation of diabetic retinopathy: a systemic review
Diabetic retinopathy (DR) is a major reason of blindness around the world. The
ophthalmologist manually analyzes the morphological alterations in veins of retina, and …
ophthalmologist manually analyzes the morphological alterations in veins of retina, and …
Detection of diabetic retinopathy using convolutional neural networks for feature extraction and classification (DRFEC)
Diabetic Retinopathy (DR) is caused as a result of Diabetes Mellitus which causes
development of various retinal abrasions in the human retina. These lesions cause …
development of various retinal abrasions in the human retina. These lesions cause …
Detection of diabetic retinopathy in retinal fundus images using CNN classification models
AO Asia, CZ Zhu, SA Althubiti, D Al-Alimi, YL **ao… - Electronics, 2022 - mdpi.com
Diabetes is a widespread disease in the world and can lead to diabetic retinopathy, macular
edema, and other obvious microvascular complications in the retina of the human eye. This …
edema, and other obvious microvascular complications in the retina of the human eye. This …
Automatic breast lesion segmentation in phase preserved DCE-MRIs
We offer a framework for automatically and accurately segmenting breast lesions from
Dynamic Contrast Enhanced (DCE) MRI in this paper. The framework is built using max flow …
Dynamic Contrast Enhanced (DCE) MRI in this paper. The framework is built using max flow …
A mobile-based system for maize plant leaf disease detection and classification using deep learning
Artificial Intelligence has been used for many applications such as medical, communication,
object detection, and object tracking. Maize crop, which is the major crop in the world, is …
object detection, and object tracking. Maize crop, which is the major crop in the world, is …
Facilitating database tuning with hyper-parameter optimization: a comprehensive experimental evaluation
Recently, using automatic configuration tuning to improve the performance of modern
database management systems (DBMSs) has attracted increasing interest from the …
database management systems (DBMSs) has attracted increasing interest from the …
Hypergraph contrastive learning for electronic health records
Abstract Electronic Health Records (EHR) is the repository of patients' involved medical
codes in the hospital, including diagnosis codes, medication codes, procedure codes, lab …
codes in the hospital, including diagnosis codes, medication codes, procedure codes, lab …
Tabular data synthesis with generative adversarial networks: design space and optimizations
The proliferation of big data has brought an urgent demand for privacy-preserving data
publishing. Traditional solutions to this demand have limitations on effectively balancing the …
publishing. Traditional solutions to this demand have limitations on effectively balancing the …
[HTML][HTML] An efficient EGWO algorithm as feature selection for B-ALL diagnoses and its subtypes classification using peripheral blood smear images
Acute lymphoblastic leukemia (ALL) is the most serious type of leukemia that develops
because it causes an abnormal increase in the production of immature white blood cells in …
because it causes an abnormal increase in the production of immature white blood cells in …
An efficient strategy for blood diseases detection based on grey wolf optimization as feature selection and machine learning techniques
Acute Lymphoblastic Leukemia (ALL) is a cancer that infects the blood cells causing the
development of lymphocytes in large numbers. Diagnostic tests are costly and very time …
development of lymphocytes in large numbers. Diagnostic tests are costly and very time …