5 papers:
ICPR-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.
- ICPR-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.
KDIR-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.
- ICPR-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.
- ICPR-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.
