BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Used together with:
imag (3)
transform (2)
detect (2)
approach (2)
base (2)

Stem malign$ (all stems)

5 papers:

ICPRICPR-2014-MehnertMSMB #approach
A Structural Texture Approach for Characterising Malignancy Associated Changes in Pap Smears Based on Mean-Shift and the Watershed Transform (AM, RM, KS, PM, EB), pp. 1189–1193.
ICPRICPR-2014-PakKA #detection #probability
Improvement of Benign and Malignant Probability Detection Based on Non-subsample Contourlet Transform and Super-resolution (FP, HRK, AA), pp. 895–899.
KDIRKDIR-2011-ArmengolP #case study #classification #information management #lazy evaluation #learning
Combining Two Lazy Learning Methods for Classification and Knowledge Discovery — A Case Study for Malignant Melanoma Diagnosis (EA, SP), pp. 200–207.
ICPRICPR-2010-SertelCLSG #analysis #approach #detection #image
An Image Analysis Approach for Detecting Malignant Cells in Digitized H&E-stained Histology Images of Follicular Lymphoma (OS, ÜVÇ, GL, AS, MNG), pp. 273–276.
ICPRICPR-v1-2002-HiranoHTOE #3d #image #quantifier #using
Quantification of Shrinkage of Lung Lobe from Chest CT Images Using the 3D Extended Voronoi Division and its Application to the Benign/Malignant Discrimination of Tumor Shadows (YH, JiH, JiT, HO, KE), pp. 751–754.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.