a Record control number 000324899200010

a ISSN 0302-9743

a Original cataloging agency NEU GrandLibrary

a Language code of text/sound track or separate title eng

a Classification number QA76

b Item number .A28 2013

a Personal name Khashman, Adnan,

h Medium Electronic Document

a Title Acute Lymphoblastic Leukemia Identification Using Blood Smear Images and a Neural Classifier.

c Statement of responsibility, etc Adnan Khashman, Hayder Hassan Abbas.

c Date of publication, distribution, etc 2013.

b Name of publisher, distributor, etc Springer,

a Place of publication, distribution, etc Berlin :

a Summary, etc There is a need for fast and cost-effective leukemia identification methods, because early identification could increase the likelihood of recovery. Currently, diagnostic methods require sophisticated expensive laboratories such as immune-phenotype and cytogenetic abnormality. Therefore, we propose an identification method based on using blood smear images of normal and cancerous cells, in addition to a neural network classifier. We focus in this paper on identifying Acute Lumphoblastic Leukemia (ALL) cases, and implement our experiments following three learning schemes for a neural model. The neural classifiers distinguish between normal blood cells and ALL-infected cells. The experimental results show that the proposed novel leukemia identification system can be effectively used for such a task, and thus could be implemented for identifying other leukemia types in real life applications.

a Topical term or geographic name as entry element Computer science

a Topical term or geographic name as entry element Near East University Article

a Topical term or geographic name as entry element Yakın Doğu Üniversitesi Makale

a Topical term or geographic name as entry element Artificial intelligence

a Topical term or geographic name as entry element Acute Lymphoblastic-Leukemia

g Relationship information 2013, Vol 7903, p80-87

t Title Advances In Computational Intelligence, Pt II

x International Standard Serial Number 03029743