Title |
Rating |
Authors |
Reviews |
Status |
 |
| An entropy based multi-thresholding method for semi-automatic segmentation of liver tumors |
  |
Choudhary A., Moretto N., Pizzorni Ferrarese F., Zamboni G.A. |
1 |
Open for public review
|
| An iterative Bayesian approach for liver analysis: tumors validation study |
|
Yoav T., Ofer E., Moti F., Leo J., Jacob S. |
1 |
Open for public review
|
| Segmentation of Liver Metastases in CT Scans by Adaptive Thresholding and Morphological Processing |
|
Moltz J.H., Bornemann L., Dicken V., Peitgen H. |
1 |
Open for public review
|
| Semi-automatic Segmentation of Liver Tumors from CT Scans Using Bayesian Rule-based 3D Region Growing |
|
Qi Y., Xiong W., Leow W.K., Tian Q., Zhou J., Liu J., Han T., Venkatesh S., Wang S. |
1 |
Open for public review
|
| Cognition Network Technology for a Fully Automated 3D Segmentation of Liver Tumors |
|
Schmidt G., Binnig G., Kietzmann M., Kim J. |
1 |
Open for public review
|
| Segmentation of Liver Metastases Using a Level Set Method with Spiral-Scanning Technique and Supervised Fuzzy Pixel Classification |
|
Smeets D., Stijnen B., Loeckx D., De Dobbelaer B., Suetens P. |
1 |
Open for public review
|
| Interactive Liver Tumor Segmentation Using Graph-cuts and Watershed |
|
Stawiaski J., Decenciere E., Bidault F. |
1 |
Open for public review
|
| A semi-automated method for liver tumor segmentation based on 2D region growing with |
|
Wong D., Liu J., Yin F., Tian Q., Xiong W., Zhou J., Yingyi Q., Han T., Venkatesh S., Wang S. |
1 |
Open for public review
|
| Efficient Automated Detection and Segmentation of Medium and Large Liver Tumors: CAD Approach |
|
Kubota T. |
1 |
Open for public review
|
| Semi-automatic Segmentation of 3D Liver Tumors from CT Scans Using Voxel Classification and Propagational Learning |
|
Zhou J., Xiong W., Tian Q., Qi Y., Liu J., Leow W.K., Han T., Venkatesh S., Wang S. |
1 |
Open for public review
|
| Liver Tumor Segmentation Using Implicit Surface Evolution |
|
Hame Y. |
1 |
Open for public review
|
| Ensemble segmentation using AdaBoost with application to liver lesion extraction from a CT volume |
|
SHIMIZU A., NARIHIRA T., FURUKAWA D., KOBATAKE H., NAWANO S., SHINOZAKI K. |
1 |
Open for public review
|
| Liver Tumor segmentation in CT images using probabilistic |
|
Ben-Dan I., Shenhav E. |
1 |
Open for public review
|
| Contrast Enhancement for Liver Tumor Identification |
 |
Nugroho H.A., Ihtatho D., Nugroho H. |
1 |
Open for public review
|
