1999
DOI: 10.1002/(sici)1097-0320(19991201)37:4<267::aid-cyto3>3.0.co;2-y
|View full text |Cite
|
Sign up to set email alerts
|

Image analysis software for automatic DNA ploidy assessment of archival solid tumours

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2002
2002
2015
2015

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 9 publications
(2 citation statements)
references
References 8 publications
0
2
0
Order By: Relevance
“…A diagnosis made by a pathologist is often based on the subjective estimation and comparison of parameters such as the size of nuclei, nucleoli and chromatin clumps, roughness of chromatin appearance, smoothness and roundness of nuclear shapes, etc. [1,2,3,4,5,6,7,8,9]. Algorithms for identification and segmentation of single cells or nuclei have been developed based on the dissimilarities between the contents inside and outside of the individual cells or nuclei [10,11,12,13,14,15].…”
Section: Introductionmentioning
confidence: 99%
“…A diagnosis made by a pathologist is often based on the subjective estimation and comparison of parameters such as the size of nuclei, nucleoli and chromatin clumps, roughness of chromatin appearance, smoothness and roundness of nuclear shapes, etc. [1,2,3,4,5,6,7,8,9]. Algorithms for identification and segmentation of single cells or nuclei have been developed based on the dissimilarities between the contents inside and outside of the individual cells or nuclei [10,11,12,13,14,15].…”
Section: Introductionmentioning
confidence: 99%
“…A diagnosis made by a pathologist is often based on the subjective estimation and comparison of parameters such as the size of nuclei, nucleoli, and chromatin clumps, roughness of chromatin appearance, smoothness and roundness of nuclear shapes, etc. Numerous studies have aimed at developing quantitative image analysis procedures that quantitatively evaluate and compare those parameters for the resolution of diagnoses of malignancy (Bloyet et al, 1999;Deligdisch et al, 1999;Landini and Rippin, 1996;Marchevsky and Erler, 1994). A diagnosis is assigned on the basis of these features in accordance with a prescribed classificatory approach determined and validated on the basis of representative sets of cases (Deligdisch et al, 1993(Deligdisch et al, , 1995(Deligdisch et al, , 2003Dinstein et al, 2002;Wu et al, 1998aWu et al, ,b, 2004a.…”
Section: Introductionmentioning
confidence: 99%