8 papers:
ICPR-2014-DengHXC #analysis #composition #matrix #rank- Sparse and Low Rank Matrix Decomposition Based Local Morphological Analysis and Its Application to Diagnosis of Cirrhosis Livers (JD, XHH, GX, YWC), pp. 3363–3368.
- ICPR-2014-YanTZZBYMM #assessment #automation #segmentation
- Automatic Liver Segmentation and Hepatic Fat Fraction Assessment in MRI (ZY, CT, SZ, YZ, BB, HJY, CM, DNM), pp. 3280–3285.
- ICPR-2012-PengWK #segmentation
- A new convex variational model for liver segmentation (JP, JW, DK), pp. 3754–3757.
- ICPR-2010-FujitaHSTS #detection #image #using
- An Improved Method for Cirrhosis Detection Using Liver’s Ultrasound Images (YF, YH, MS, ST, IS), pp. 2294–2297.
- ICPR-2010-MilitzerHJTH #automation #detection #image #segmentation
- Automatic Detection and Segmentation of Focal Liver Lesions in Contrast Enhanced CT Images (AM, TH, FJ, CT, JH), pp. 2524–2527.
- ICPR-v1-2006-LiHS #approach #bound #image #machine learning
- A Machine Learning Approach for Locating Boundaries of Liver Tumors in CT Images (YL, SH, KS), pp. 400–403.
SAC-2005-SignoriniG #evolution #object-oriented- Object-oriented wound healing in the liver: a class-structured view of fibrogenesis and a glimpse of its evolution (JS, PG), pp. 165–171.
- ICPR-v1-2002-SaitohTK #automation #multi #segmentation
- Automatic Segmentation of Liver Region through Blood Vessels on Multi-Phase CT (TS, YT, TK), pp. 735–738.
