Machine learning in detection and classification of leukemia using smear blood images: a systematic review
Introduction. The early detection and diagnosis of leukemia, ie, the precise differentiation of
malignant leukocytes with minimum costs in the early stages of the disease, is a major …
malignant leukocytes with minimum costs in the early stages of the disease, is a major …
Segmentation of white blood cell, nucleus and cytoplasm in digital haematology microscope images: A review–challenges, current and future potential techniques
ALD Khamael, J Banks, K Nugyen… - IEEE Reviews in …, 2020 - ieeexplore.ieee.org
Segmentation of white blood cells in digital haematology microscope images represents one
of the major tools in the diagnosis and evaluation of blood disorders. Pathological …
of the major tools in the diagnosis and evaluation of blood disorders. Pathological …
A fast and efficient CNN model for B‐ALL diagnosis and its subtypes classification using peripheral blood smear images
The definitive diagnosis of acute lymphoblastic leukemia (ALL), as a highly prevalent
cancer, requires invasive, expensive, and time‐consuming diagnostic tests. ALL diagnosis …
cancer, requires invasive, expensive, and time‐consuming diagnostic tests. ALL diagnosis …
Seens: Nuclei segmentation in pap smear images with selective edge enhancement
Accurate nuclei segmentation, as an indispensable basis and core link for multi-cell cervical
image analysis, plays an important role in automatic pre-cancer detection. However, poor …
image analysis, plays an important role in automatic pre-cancer detection. However, poor …
Acute lymphoblastic leukemia segmentation using local pixel information
The severity of acute lymphoblastic leukemia depends on the percentages of blast cells
(abnormal white blood cells) in bone marrow or peripheral blood. The manual microscopic …
(abnormal white blood cells) in bone marrow or peripheral blood. The manual microscopic …
[HTML][HTML] Detection and classification of immature leukocytes for diagnosis of acute myeloid leukemia using random forest algorithm
S Dasariraju, M Huo, S McCalla - Bioengineering, 2020 - mdpi.com
Acute myeloid leukemia (AML) is a fatal blood cancer that progresses rapidly and hinders
the function of blood cells and the immune system. The current AML diagnostic method, a …
the function of blood cells and the immune system. The current AML diagnostic method, a …
Detection of acute lymphoblastic leukemia using image segmentation and data mining algorithms
V Acharya, P Kumar - Medical & biological engineering & computing, 2019 - Springer
Blood is composed of white blood cells, red blood cells, and platelets. Segmentation of the
blood smear cells and extraction of features of the cells is essential in the field of medicine …
blood smear cells and extraction of features of the cells is essential in the field of medicine …
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 …
Diagnosis of leukemia disease through deep learning using microscopic images
The abnormal production of WBC (white blood cell) in the bone marrow is known as
leukemia. Leukemia is one of the most affecting diseases around the globe. Several types of …
leukemia. Leukemia is one of the most affecting diseases around the globe. Several types of …
Cuckoo search with differential evolution mutation and Masi entropy for multi-level image segmentation
Since the beginning of the twenty-first century, the Cuckoo Search (CS) algorithm has
emerged as one of the robust, flexible, fast, and easily implementable techniques for the …
emerged as one of the robust, flexible, fast, and easily implementable techniques for the …