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 …
[HTML][HTML] A review of artificial intelligence applications in hematology management: current practices and future prospects
Background Machine learning (ML) and deep learning (DL) methods have recently
garnered a great deal of attention in the field of cancer research by making a noticeable …
garnered a great deal of attention in the field of cancer research by making a noticeable …
Hybrid techniques for the diagnosis of acute lymphoblastic leukemia based on fusion of CNN features
Acute lymphoblastic leukemia (ALL) is one of the deadliest forms of leukemia due to the
bone marrow producing many white blood cells (WBC). ALL is one of the most common …
bone marrow producing many white blood cells (WBC). ALL is one of the most common …
A2M-LEUK: attention-augmented algorithm for blood cancer detection in children
Leukemia is a malignancy that affects the blood and bone marrow. Its detection and
classification are conventionally done through labor-intensive and specialized methods. The …
classification are conventionally done through labor-intensive and specialized methods. The …
Automatic classification of melanoma skin cancer with deep convolutional neural networks
K Aljohani, T Turki - Ai, 2022 - mdpi.com
Melanoma skin cancer is one of the most dangerous types of skin cancer, which, if not
diagnosed early, may lead to death. Therefore, an accurate diagnosis is needed to detect …
diagnosed early, may lead to death. Therefore, an accurate diagnosis is needed to detect …
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 …
[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 …
Multiple types of Cancer classification using CT/MRI images based on Learning without Forgetting powered Deep Learning Models
Cancer is the second biggest cause of death worldwide, accounting for one of every six
deaths. On the other hand, early detection of the disease significantly improves the chances …
deaths. On the other hand, early detection of the disease significantly improves the chances …
[HTML][HTML] Multiclass blood cancer classification using deep CNN with optimized features
Breast cancer, lung cancer, skin cancer, and blood malignancies such as leukemia and
lymphoma are just a few instances of cancer, which is a collection of cells that proliferate …
lymphoma are just a few instances of cancer, which is a collection of cells that proliferate …
A multistage transfer learning approach for acute lymphoblastic leukemia classification
Automated medical image analysis driven by artificial intelligence can revolutionize modern
healthcare in producing swift and precise diagnostics. Due to doctors' varying breadths of …
healthcare in producing swift and precise diagnostics. Due to doctors' varying breadths of …