Machine learning in detection and classification of leukemia using C-NMC_Leukemia
A significant issue in the field of illness diagnostics is the early detection and diagnosis of
leukemia, that is, the accurate distinction of malignant leukocytes with minimal costs in the …
leukemia, that is, the accurate distinction of malignant leukocytes with minimal costs in the …
A review on leukemia detection and classification using Artificial Intelligence-based techniques
Leukemia is a type of cancer affecting blood-forming tissues, where timely diagnosis is
crucial for early intervention and better treatment outcomes. Traditional detection methods …
crucial for early intervention and better treatment outcomes. Traditional detection methods …
Pattern recognition of acute lymphoblastic leukemia (ALL) using computational deep learning
Leukemia is a cancer of blood-producing cells, including the bone marrow. Abnormal white
blood cells travel through blood vessels and multiply rapidly. Healthy cells in the body …
blood cells travel through blood vessels and multiply rapidly. Healthy cells in the body …
Lightweight EfficientNetB3 model based on depthwise separable convolutions for enhancing classification of leukemia white blood cell images
Acute lymphoblastic leukemia (ALL) is a type of leukemia cancer that arises due to the
excessive growth of immature white blood cells (WBCs) in the bone marrow. The ALL rate …
excessive growth of immature white blood cells (WBCs) in the bone marrow. The ALL rate …
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 …
[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 …
[HTML][HTML] Automatic classification of 10 blood cell subtypes using transfer learning via pre-trained convolutional neural networks
Human blood is primarily composed of plasma, red blood cells, white blood cells, and
platelets. It plays a vital role in transporting oxygen and nutrients to all organs, and stores …
platelets. It plays a vital role in transporting oxygen and nutrients to all organs, and stores …
Hybrid Models Based on Fusion Features of a CNN and Handcrafted Features for Accurate Histopathological Image Analysis for Diagnosing Malignant Lymphomas
Malignant lymphoma is one of the most severe types of disease that leads to death as a
result of exposure of lymphocytes to malignant tumors. The transformation of cells from …
result of exposure of lymphocytes to malignant tumors. The transformation of cells from …
A framework for Early Detection of Acute Lymphoblastic Leukemia and its Subtypes from Peripheral Blood Smear Images Using Deep Ensemble Learning Technique
Acute lymphoblastic leukemia (ALL), one of the prevalent types of carcinogenic disease, has
been seen a deadly illness exposing numerous patients across the world to potential threats …
been seen a deadly illness exposing numerous patients across the world to potential threats …
Morphological diagnosis of hematologic malignancy using feature fusion-based deep convolutional neural network
Leukemia is a cancer of white blood cells characterized by immature lymphocytes. Due to
blood cancer, many people die every year. Hence, the early detection of these blast cells is …
blood cancer, many people die every year. Hence, the early detection of these blast cells is …