A comprehensive survey of recent trends in deep learning for digital images augmentation
Deep learning proved its efficiency in many fields of computer science such as computer
vision, image classifications, object detection, image segmentation, and more. Deep …
vision, image classifications, object detection, image segmentation, and more. Deep …
A review on traditional machine learning and deep learning models for WBCs classification in blood smear images
In computer vision, traditional machine learning (TML) and deep learning (DL) methods
have significantly contributed to the advancements of medical image analysis (MIA) by …
have significantly contributed to the advancements of medical image analysis (MIA) by …
Fighting against COVID-19: A novel deep learning model based on YOLO-v2 with ResNet-50 for medical face mask detection
Deep learning has shown tremendous potential in many real-life applications in different
domains. One of these potentials is object detection. Recent object detection which is based …
domains. One of these potentials is object detection. Recent object detection which is based …
A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic
The coronavirus COVID-19 pandemic is causing a global health crisis. One of the effective
protection methods is wearing a face mask in public areas according to the World Health …
protection methods is wearing a face mask in public areas according to the World Health …
A deep learning model (ALNet) for the diagnosis of acute leukaemia lineage using peripheral blood cell images
L Boldú, A Merino, A Acevedo, A Molina… - Computer Methods and …, 2021 - Elsevier
Background and objectives Morphological differentiation among blasts circulating in blood
in acute leukaemia is challenging. Artificial intelligence decision support systems hold …
in acute leukaemia is challenging. Artificial intelligence decision support systems hold …
Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model
Blood cancer has been a growing concern during the last decade and requires early
diagnosis to start proper treatment. The diagnosis process is costly and time-consuming …
diagnosis to start proper treatment. The diagnosis process is costly and time-consuming …
[Retracted] Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method
WH Abir, MF Uddin, FR Khanam, T Tazin… - Computational …, 2022 - Wiley Online Library
White blood cells (WBCs) are blood cells that fight infections and diseases as a part of the
immune system. They are also known as “defender cells.” But the imbalance in the number …
immune system. They are also known as “defender cells.” But the imbalance in the number …
A systematic review on acute leukemia detection using deep learning techniques
Acute leukemia is a cancer that starts in the bone marrow and is characterized by an
abnormal growth of white blood cells. It is a disease that affects people all over the world …
abnormal growth of white blood cells. It is a disease that affects people all over the world …
BO-ALLCNN: Bayesian-based optimized CNN for acute lymphoblastic leukemia detection in microscopic blood smear images
Acute lymphoblastic leukemia (ALL) is a deadly cancer characterized by aberrant
accumulation of immature lymphocytes in the blood or bone marrow. Effective treatment of …
accumulation of immature lymphocytes in the blood or bone marrow. Effective treatment of …
A customized efficient deep learning model for the diagnosis of acute leukemia cells based on lymphocyte and monocyte images
The production of blood cells is affected by leukemia, a type of bone marrow cancer or blood
cancer. Deoxyribonucleic acid (DNA) is related to immature cells, particularly white cells …
cancer. Deoxyribonucleic acid (DNA) is related to immature cells, particularly white cells …