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 …
Classification of acute lymphoblastic leukemia using deep learning
Acute Leukemia is a life‐threatening disease common both in children and adults that can
lead to death if left untreated. Acute Lymphoblastic Leukemia (ALL) spreads out in children's …
lead to death if left untreated. Acute Lymphoblastic Leukemia (ALL) spreads out in children's …
Segmentation of white blood cell, nucleus and cytoplasm in digital haematology microscope images: A review–challenges, current and future potential techniques
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 …
An ensemble classifier system for early diagnosis of acute lymphoblastic leukemia in blood microscopic images
Leukemia is a malignant neoplasm of the blood or bone marrow that affects both children
and adults and remains a leading cause of death around the world. Acute lymphoblastic …
and adults and remains a leading cause of death around the world. Acute lymphoblastic …
Detection of subtype blood cells using deep learning
Deep Learning has already shown power in many application fields, and is accepted by
more and more people as a better approach than the traditional machine learning models. In …
more and more people as a better approach than the traditional machine learning models. In …
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 …
A neural‐network‐based approach to white blood cell classification
This paper presents a new white blood cell classification system for the recognition of five
types of white blood cells. We propose a new segmentation algorithm for the segmentation …
types of white blood cells. We propose a new segmentation algorithm for the segmentation …
Microscopic blood smear segmentation and classification using deep contour aware CNN and extreme machine learning
M Imran Razzak, S Naz - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Recent advancement in genomic technologies has opened a new realm for early detection
of diseases that shows potential to overcome the drawbacks of manual detection …
of diseases that shows potential to overcome the drawbacks of manual detection …
Computer aided solution for automatic segmenting and measurements of blood leucocytes using static microscope images
E Abdulhay, MA Mohammed, DA Ibrahim… - Journal of medical …, 2018 - Springer
Blood leucocytes segmentation in medical images is viewed as difficult process due to the
variability of blood cells concerning their shape and size and the difficulty towards …
variability of blood cells concerning their shape and size and the difficulty towards …
Microscopic image segmentation and morphological characterization of novel chitosan/silica nanoparticle/nisin films using antimicrobial technique for blueberry …
In the current work, the characterization of novel chitosan/silica nanoparticle/nisin films with
the addition of nisin as an antimicrobial technique for blueberry preservation during storage …
the addition of nisin as an antimicrobial technique for blueberry preservation during storage …