A systematic review on recent advancements in deep and machine learning based detection and classification of acute lymphoblastic leukemia
Automatic Leukemia or blood cancer detection is a challenging job and is very much
required in healthcare centers. It has a significant role in early diagnosis and treatment …
required in healthcare centers. It has a significant role in early diagnosis and treatment …
From microscope to micropixels: A rapid review of artificial intelligence for the peripheral blood film
Artificial intelligence (AI) and its application in classification of blood cells in the peripheral
blood film is an evolving field in haematology. We performed a rapid review of the literature …
blood film is an evolving field in haematology. We performed a rapid review of the literature …
Acute lymphoblastic leukemia detection and classification of its subtypes using pretrained deep convolutional neural networks
S Shafique, S Tehsin - Technology in cancer research & …, 2018 - journals.sagepub.com
Leukemia is a fatal disease of white blood cells which affects the blood and bone marrow in
human body. We deployed deep convolutional neural network for automated detection of …
human body. We deployed deep convolutional neural network for automated detection of …
[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 …
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 …
Automated detection of leukemia by pretrained deep neural networks and transfer learning: A comparison
KK Anilkumar, VJ Manoj, TM Sagi - Medical Engineering & Physics, 2021 - Elsevier
Leukemia is usually diagnosed by viewing the smears of blood and bone marrow using
microscopes and complex Cytochemical tests can be used to authorize and classify …
microscopes and complex Cytochemical tests can be used to authorize and classify …
SDCT-AuxNetθ: DCT augmented stain deconvolutional CNN with auxiliary classifier for cancer diagnosis
Acute lymphoblastic leukemia (ALL) is a pervasive pediatric white blood cell cancer across
the globe. With the popularity of convolutional neural networks (CNNs), computer-aided …
the globe. With the popularity of convolutional neural networks (CNNs), computer-aided …
A survey on automated detection and classification of acute leukemia and WBCs in microscopic blood cells
M Zolfaghari, H Sajedi - Multimedia Tools and Applications, 2022 - Springer
Leukemia (blood cancer) is an unusual spread of White Blood Cells or Leukocytes (WBCs)
in the bone marrow and blood. Pathologists can diagnose leukemia by looking at a person's …
in the bone marrow and blood. Pathologists can diagnose leukemia by looking at a person's …
C-NMC: B-lineage acute lymphoblastic leukaemia: A blood cancer dataset
Abstract Development of computer-aided cancer diagnostic tools is an active research area
owing to the advancements in deep-learning domain. Such technological solutions provide …
owing to the advancements in deep-learning domain. Such technological solutions provide …
ALNett: A cluster layer deep convolutional neural network for acute lymphoblastic leukemia classification
Abstract Acute Lymphoblastic Leukemia (ALL) is cancer in which bone marrow
overproduces undeveloped lymphocytes. Over 6500 cases of ALL are diagnosed every year …
overproduces undeveloped lymphocytes. Over 6500 cases of ALL are diagnosed every year …