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] Computational pathology: a survey review and the way forward
Abstract Computational Pathology (CPath) is an interdisciplinary science that augments
developments of computational approaches to analyze and model medical histopathology …
developments of computational approaches to analyze and model medical histopathology …
[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 …
An intelligent attention-based transfer learning model for accurate differentiation of bone marrow stains to diagnose hematological disorder
Bone marrow (BM) is an essential part of the hematopoietic system, which generates all of
the body's blood cells and maintains the body's overall health and immune system. The …
the body's blood cells and maintains the body's overall health and immune system. The …
Bayesian convolutional neural network-based models for diagnosis of blood cancer
ME Billah, F Javed - Applied Artificial Intelligence, 2022 - Taylor & Francis
Deep learning methods allow computational models involving multiple processing layers to
discover intricate structures in data sets. Classifying an image is one such problem where …
discover intricate structures in data sets. Classifying an image is one such problem where …
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 …
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 …
A deep learning-based approach for the diagnosis of acute lymphoblastic leukemia
A Saeed, S Shoukat, K Shehzad, I Ahmad… - Electronics, 2022 - mdpi.com
Leukemia is a deadly disease caused by the overproduction of immature white blood cells
(WBS) in the bone marrow. If leukemia is detected at the initial stages, the chances of …
(WBS) in the bone marrow. If leukemia is detected at the initial stages, the chances of …
Acute lymphoblastic leukemia detection using hypercomplex-valued convolutional neural networks
This paper features convolutional neural networks defined on hypercomplex algebras
applied to classify lymphocytes in blood smear digital microscopic images. Such …
applied to classify lymphocytes in blood smear digital microscopic images. Such …
DL4ALL: Multi-task cross-dataset transfer learning for Acute Lymphoblastic Leukemia detection
Methods for the detection of Acute Lymphoblastic (or Lymphocytic) Leukemia (ALL) are
increasingly considering Deep Learning (DL) due to its high accuracy in several fields …
increasingly considering Deep Learning (DL) due to its high accuracy in several fields …