Scene segmentation techniques for the analysis of routine bone marrow smears from acute lymphoblastic leukemia patients

Automated analysis of lymphoblast cell morphology is being evaluated as a basis for predicting the response to therapy of patients with acute lymphoblastic leukemia. A new technique of scene segmentation particularly applicable to the "cluttered" images of cells in routine bone marrow smea...

Full description

Saved in:
Bibliographic Details
Published inThe journal of histochemistry and cytochemistry Vol. 25; no. 7; pp. 601 - 613
Main Authors Brenner, JF, Necheles, TF, Bonacossa, IA, Fristensky, R, Weintraub, BA, Neurath, PW
Format Journal Article
LanguageEnglish
Published Los Angeles, CA Histochemical Soc 01.07.1977
SAGE Publications
Subjects
Autoanalysis - methods
Bone Marrow - pathology
Bone Marrow Cells
Cell Separation
Diagnosis, Computer-Assisted
Humans
Leukemia, Lymphoid - pathology
Lymphocytes - pathology
Methods
Prognosis
Online AccessGet full text

Cover

More Information
Summary:Automated analysis of lymphoblast cell morphology is being evaluated as a basis for predicting the response to therapy of patients with acute lymphoblastic leukemia. A new technique of scene segmentation particularly applicable to the "cluttered" images of cells in routine bone marrow smears is described. Morphologic characteristics of lymphoblasts found in bone marrow smears made at time of diagnosis were measured by an automated, interactive image-processing system using the new scene segmentation technique. These characteristics, on a patient by patient basis, are being compared to remission length and survival data to develop and test new prognostic methods.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0022-1554
1551-5044
DOI:10.1177/25.7.330715