[HTML][HTML] Detecting malignant leukemia cells using microscopic blood smear images: a deep learning approach
Leukemia is a form of blood cancer that develops when the human body's bone marrow
contains too many white blood cells. This medical condition affects adults and is considered …
contains too many white blood cells. This medical condition affects adults and is considered …
[HTML][HTML] Customized deep learning classifier for detection of acute lymphoblastic leukemia using blood smear images
N Sampathila, K Chadaga, N Goswami, RP Chadaga… - Healthcare, 2022 - mdpi.com
Acute lymphoblastic leukemia (ALL) is a rare type of blood cancer caused due to the
overproduction of lymphocytes by the bone marrow in the human body. It is one of the …
overproduction of lymphocytes by the bone marrow in the human body. It is one of the …
[HTML][HTML] Deep transfer learning in diagnosing leukemia in blood cells
Leukemia is a fatal disease that threatens the lives of many patients. Early detection can
effectively improve its rate of remission. This paper proposes two automated classification …
effectively improve its rate of remission. This paper proposes two automated classification …
Mutual information based hybrid model and deep learning for acute lymphocytic leukemia detection in single cell blood smear images
KK Jha, HS Dutta - Computer methods and programs in biomedicine, 2019 - Elsevier
Background and objective Due to the development in digital microscopic imaging, image
processing and classification has become an interesting area for diagnostic research …
processing and classification has become an interesting area for diagnostic research …
[HTML][HTML] Optimal deep transfer learning-based human-centric biomedical diagnosis for acute lymphoblastic leukemia detection
Human-centric biomedical diagnosis (HCBD) becomes a hot research topic in the
healthcare sector, which assists physicians in the disease diagnosis and decision-making …
healthcare sector, which assists physicians in the disease diagnosis and decision-making …
[Retracted] Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method
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 …
Deep learning for the detection of acute lymphoblastic leukemia subtypes on microscopic images: A systematic literature review
Computer vision research in detecting and classifying the subtype Acute Lymphoblastic
Leukemia (ALL) has contributed to computer-aided diagnosis with improved accuracy …
Leukemia (ALL) has contributed to computer-aided diagnosis with improved accuracy …
[HTML][HTML] Deep learning for acute myeloid leukemia diagnosis
E Nazari, AH Farzin, M Aghemiri, A Avan… - Journal of Medicine …, 2020 - ncbi.nlm.nih.gov
By changing the lifestyle and increasing the cancer incidence, accurate diagnosis becomes
a significant medical action. Today, DNA microarray is widely used in cancer diagnosis and …
a significant medical action. Today, DNA microarray is widely used in cancer diagnosis and …
Histopathological transfer learning for acute lymphoblastic leukemia detection
The detection of Acute Lymphoblastic (or Lymphocytic) Leukemia (ALL) is being
increasingly performed with the help of Computer Aided Diagnosis (CAD) systems based on …
increasingly performed with the help of Computer Aided Diagnosis (CAD) systems based on …
Classification of normal and leukemic blast cells in B-ALL cancer using a combination of convolutional and recurrent neural networks
Abstract Acute Lymphocytic or Lymphoblastic Leukemia (ALL) is a virulent form of blood
cancer that affects white blood cells and the bone-marrow–spongy tissue. At the start of ALL …
cancer that affects white blood cells and the bone-marrow–spongy tissue. At the start of ALL …