MICCAI 2008 Workshop: Grand Challenge Liver Tumor Segmentation

Issue

Grand Challenge Liver Tumor Segmentation

Title

Authors

Keywords

An iterative Bayesian approach for liver analysis: tumors validation study

Taieb, Yoav, Eliassaf, Ofer, Freiman, Moti, Joskowicz, Leo, Sosna, Jacob

tumor segmentation, Liver segmentation

Segmentation of Liver Metastases Using a Level Set Method with Spiral-Scanning Technique and Supervised Fuzzy Pixel Classification

Smeets, Dirk, Stijnen, Bert, Loeckx, Dirk, De Dobbelaer, Bart, Suetens, Paul

spiral-scanning technique, liver metastases, segmentation, liver tumor, level set

Cognition Network Technology for a Fully Automated 3D Segmentation of Liver Tumors

Schmidt, Guenter, Binnig, Gerd, Kietzmann, Markus, Kim, Johann

liver, segmentation, tumor

Segmentation of Liver Metastases in CT Scans by Adaptive Thresholding and Morphological Processing

Moltz, Jan Hendrik, Bornemann, Lars, Dicken, Volker, Peitgen, Heinz-Otto

MICCAI competition, segmentation, liver metastases

A semi-automated method for liver tumor segmentation based on 2D region growing with

Wong, Damon, Liu, Jiang, Yin, Fengshou, Tian, Qi, Xiong, Wei, Zhou, Jiayin, Yingyi, Qi, Han, Thazin, Venkatesh, Sudhakar, Wang, Shih-Chang

liver tumor, region-growing, segmentation

The MIDAS Journal