User profiles for Jaber Alyami
Dr. Jaber AlyamiKing Abdulaziz University Verified email at kau.edu.sa Cited by 371 |
[HTML][HTML] Ensemble deep-learning-enabled clinical decision support system for breast cancer diagnosis and classification on ultrasound images
Simple Summary In the literature, there exist plenty of research works focused on the
detection and classification of breast cancer. However, only a few works have focused on the …
detection and classification of breast cancer. However, only a few works have focused on the …
Tumor localization and classification from MRI of brain using deep convolution neural network and Salp swarm algorithm
Early diagnosis of brain tumors is crucial for treatment planning and increasing the survival
rates of infected patients. In fact, brain tumors exist in a range of different forms, sizes, and …
rates of infected patients. In fact, brain tumors exist in a range of different forms, sizes, and …
Detection of microscopic glaucoma through fundus images using deep transfer learning approach
Glaucoma disease in humans can lead to blindness if it progresses to the point where it affects
the oculus' optic nerve head. It is not easily detected since there are no symptoms, but it …
the oculus' optic nerve head. It is not easily detected since there are no symptoms, but it …
Machine learning for post‐traumatic stress disorder identification utilizing resting‐state functional magnetic resonance imaging
Early detection of post‐traumatic stress disorder (PTSD) is essential for proper treatment of
the patients to recover from this disorder. The aligned purpose of this study was to investigate …
the patients to recover from this disorder. The aligned purpose of this study was to investigate …
[PDF][PDF] Machine learning with quantum seagull optimization model for COVID-19 chest X-ray image classification
Coronavirus disease (COVID-19) should be diagnosed in early stages in order to reduce
the spread of virus and prevent further complications. With the increasing spread of COVID-19 …
the spread of virus and prevent further complications. With the increasing spread of COVID-19 …
[HTML][HTML] Cloud computing-based framework for breast tumor image classification using fusion of AlexNet and GLCM texture features with ensemble multi-kernel …
Breast cancer is common among women all over the world. Early identification of breast
cancer lowers death rates. However, it is difficult to determine whether these are cancerous or …
cancer lowers death rates. However, it is difficult to determine whether these are cancerous or …
Automatic skin lesions detection from images through microscopic hybrid features set and machine learning classifiers
Skin cancer occurrences increase exponentially worldwide due to the lack of awareness of
significant populations and skin specialists. Medical imaging can help with early detection …
significant populations and skin specialists. Medical imaging can help with early detection …
[HTML][HTML] COVID-19 identification system using transfer learning technique with mobile-NetV2 and chest X-ray images
Diagnosis is a crucial precautionary step in research studies of the coronavirus disease, which
shows indications similar to those of various pneumonia types. The COVID-19 pandemic …
shows indications similar to those of various pneumonia types. The COVID-19 pandemic …
[HTML][HTML] Biochemical and physiological responses of thermostable wheat genotypes for agronomic yield under heat stress during reproductive stages
Wheat is a globally important crop used as a main staple food in various countries of the
world. The current study was conducted with the objective to evaluate the effect of a high …
world. The current study was conducted with the objective to evaluate the effect of a high …
Glycaemic, gastrointestinal, hormonal and appetitive responses to pearl millet or oats porridge breakfasts: a randomised, crossover trial in healthy humans
J Alyami, E Whitehouse, GE Yakubov… - British journal of …, 2019 - cambridge.org
Whole-grain cereal breakfast consumption has been associated with beneficial effects on
glucose and insulin metabolism as well as satiety. Pearl millet is a popular ancient grain …
glucose and insulin metabolism as well as satiety. Pearl millet is a popular ancient grain …