A survey on image segmentation of blood and bone marrow smear images with emphasis to automated detection of Leukemia
KK Anilkumar, VJ Manoj, TM Sagi - Biocybernetics and Biomedical …, 2020 - Elsevier
Leukemia is an abnormal proliferation of leukocytes in the bone marrow and blood and it is
usually diagnosed by the pathologists by observing the blood smear under a microscope …
usually diagnosed by the pathologists by observing the blood smear under a microscope …
Automated diagnosis of leukemia: a comprehensive review
Leukemia is the rapid production of abnormal white blood cells that consequently affects the
blood and damages the bone marrow. The overproduction of abnormal and immature white …
blood and damages the bone marrow. The overproduction of abnormal and immature white …
Leucocyte classification for leukaemia detection using image processing techniques
Introduction The counting and classification of blood cells allow for the evaluation and
diagnosis of a vast number of diseases. The analysis of white blood cells (WBCs) allows for …
diagnosis of a vast number of diseases. The analysis of white blood cells (WBCs) allows for …
Automatic detection of white blood cancer from bone marrow microscopic images using convolutional neural networks
Leukocytes, produced in the bone marrow, make up around one percent of all blood cells.
Uncontrolled growth of these white blood cells leads to the birth of blood cancer. Out of the …
Uncontrolled growth of these white blood cells leads to the birth of blood cancer. Out of the …
Texture feature based classification on microscopic blood smear for acute lymphoblastic leukemia detection
This paper presents an effective scheme for classification of the normal white blood cells
from the affected cells in a microscopic image. The proposed method initially pre-processes …
from the affected cells in a microscopic image. The proposed method initially pre-processes …
Automated leukaemia detection using microscopic images
N Patel, A Mishra - Procedia computer science, 2015 - Elsevier
In this paper, automated approach of leukaemia detection is proposed. In a manual method
of Leukaemia detection, experts check the microscopic images. This is lengthy and time …
of Leukaemia detection, experts check the microscopic images. This is lengthy and time …
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 acute lymphoblastic leukemia diagnosis system based on image analysis
Leukemia is a kind of cancer that basically begins in the bone marrow. It is caused by
excessive production of leukocytes that replace normal blood cells. This chapter presents …
excessive production of leukocytes that replace normal blood cells. This chapter presents …
Computer aided diagnostic system for detection of leukemia using microscopic images
In present scenario, hematological disorders of leukocyte (WBC) are very frequent in
medical practices. This work proposes a novel technique to differentiate ALL (acute …
medical practices. This work proposes a novel technique to differentiate ALL (acute …
Computer assisted classification framework for prediction of acute lymphoblastic and acute myeloblastic leukemia
Hematological malignancies ie acute lymphoid leukemia and acute myeloid leukemia are
the types of blood cancer that can affect blood, bone marrow, lymphatic system and are the …
the types of blood cancer that can affect blood, bone marrow, lymphatic system and are the …