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Automated analysis of blood smear images for leukemia detection: a comprehensive review
Leukemia, the malignancy of blood-forming tissues, becomes fatal if not detected in the early
stages. It is detected through a blood smear test that involves the morphological analysis of …
stages. It is detected through a blood smear test that involves the morphological analysis of …
All-IDB: The acute lymphoblastic leukemia image database for image processing
The visual analysis of peripheral blood samples is an important test in the procedures for the
diagnosis of leukemia. Automated systems based on artificial vision methods can speed up …
diagnosis of leukemia. Automated systems based on artificial vision methods can speed up …
An attention-based deep learning for acute lymphoblastic leukemia classification
The bone marrow overproduces immature cells in the malignancy known as Acute
Lymphoblastic Leukemia (ALL). In the United States, about 6500 occurrences of ALL are …
Lymphoblastic Leukemia (ALL). In the United States, about 6500 occurrences of ALL are …
Automated screening system for acute myelogenous leukemia detection in blood microscopic images
S Agaian, M Madhukar… - IEEE Systems …, 2014 - ieeexplore.ieee.org
Acute myelogenous leukemia (AML) is a subtype of acute leukemia, which is prevalent
among adults. The average age of a person with AML is 65 years. The need for automation …
among adults. The average age of a person with AML is 65 years. The need for automation …
Recognition of acute lymphoblastic leukemia cells in microscopic images using k-means clustering and support vector machine classifier
Acute lymphoblastic leukemia is the most common form of pediatric cancer which is
categorized into three L1, L2, and L3 and could be detected through screening of blood and …
categorized into three L1, L2, and L3 and could be detected through screening of blood and …
Computer aided diagnosis in digital pathology application: Review and perspective approach in lung cancer classification
This electronic document is a “live” template and already defines the components of your
paper [title, text, heads, etc.] in its style sheet This paper provide a broad review for most …
paper [title, text, heads, etc.] in its style sheet This paper provide a broad review for most …
[HTML][HTML] A decision support system for Acute Leukaemia classification based on digital microscopic images
AS Negm, OA Hassan, AH Kandil - Alexandria engineering journal, 2018 - Elsevier
In the era of digital microscopic imaging, Image Processing, data analysis, classification,
decision support systems have emerged as one of the most important tools for diagnostic …
decision support systems have emerged as one of the most important tools for diagnostic …
Convolutional neural networks for recognition of lymphoblast cell images
T Pansombut, S Wikaisuksakul… - Computational …, 2019 - Wiley Online Library
This paper presents the recognition for WHO classification of acute lymphoblastic leukaemia
(ALL) subtypes. The two ALL subtypes considered are T‐lymphoblastic leukaemia (pre‐T) …
(ALL) subtypes. The two ALL subtypes considered are T‐lymphoblastic leukaemia (pre‐T) …
Rough set theory with Jaya optimization for acute lymphoblastic leukemia classification
Early diagnosis of malignant leukemia can enormously help the physicians in choosing the
right treatment for the patient. A lot of diagnostic techniques are available to identify …
right treatment for the patient. A lot of diagnostic techniques are available to identify …
The burden of leukemia in the Kingdom of Saudi Arabia: 15 years period (1999–2013)
Background Leukemia is a malignant neoplasm that arises from hematopoietic cells. The
number of leukemia cases has dramatically increased from 297,000 to 437, 033 cases …
number of leukemia cases has dramatically increased from 297,000 to 437, 033 cases …