Stem microcalcif$ (all stems)
7 papers:
- ICPR-2008-ChangFLI #clustering #detection #kernel #multi
- Clustered Microcalcification detection based on a Multiple Kernel Support Vector Machine with Grouped Features (GF-SVM) (TTC, JF, HWL, HHSI), pp. 1–4.
- ICPR-2008-WuJP #detection #effectiveness #linear
- Effective features based on normal linear structures for detecting microcalcifications in mammograms (ZQW, JJ, YP), pp. 1–4.
- ICPR-v3-2004-DEliaMMPST #classification #clustering #detection #segmentation
- Detection of Microcalcifications Clusters in Mammograms through TS-MRF Segmentation and SVM-based Classification (CD, CM, MM, GP, GS, FT), pp. 742–745.
- ICPR-v1-2000-GulsrudH #clustering #detection
- Optimal Filter for Detection of Clustered Microcalcifications (TOG, JHH), pp. 1508–1511.
- ICPR-v1-2000-Rodriguez-SanchezGFF #how
- How to Define the Notion of Microcalcifications in Digitized Mammograms (RRS, JAG, JFV, XRFV), pp. 1494–1499.
- ICPR-v4-2000-CordellaTV #clustering
- Combining Experts with Different Features for Classifying Clustered Microcalcifications in Mammograms (LPC, FT, MV), pp. 4324–4327.
- ICPR-v4-2000-MataNS #detection #multi #using
- Microcalcifications Detection Using Multiresolution Methods (RM, EN, FS), pp. 4344–4347.