FUZZY LOGIC BASED CLASSIFICATION (FLBC) METHOD FOR AUTOMATED IDENTIFICATION OF NODULES IN RADIOLOGICAL IMAGES
Patent №
US 6,654,728
Granted
2003-11-25
Filed 2000
Owner
DEUS TECHNOLOGIES, LLC
+1 more
Lab
—
AI components
4
ml · vision · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
09625418
A fuzzy logic based classification (FLBC) method for the automated discrimination of objects and the automated identification of nodules based on their features, a computer programmed to implement the method, and a storage medium which stores a program for implementing the method, wherein nodule (or, object) features are first normalized and then automatically selected. Based on the selected features, suspect nodules (or, objects) are pre-grouped and then subjected to the corresponding trained linear classifier to remove those false positive nodules or abnormal objects that are linearly separable. Finally, the remaining suspect nodules or objects are further subjected to a trained fuzzy classifier for removing those false positive nodules or abnormal objects that are not linearly separable.
AI classification
Ownership
DEUS TECHNOLOGIES, LLC
assignment · 109730412
RIVERAIN MEDICAL GROUP, LLC
assignment · 151340069
Assignors
LI, RUIPING, YEH, HWA-YOUNG MICHAEL, LURE, YUAN-MING FLEMING, XU, XIN-WEI, LIN, JYH-SHYAN
On an employer assignment, the assignors are typically the inventors.