Organ Segmentation in CT Images With Weak Annotations: A Preliminary Study

Keywords : Weld Radiographic image, Image Segmentation, Level Set Methods, Chan-Vese model, Multiphase segmentation.. 1

For the problem of segmentation of healthy liver against lesions, the optimal size of texture was obtained for a size of 13 × 13 pixels.. The definition of a size of texture in

Finally, the proposed weakly supervised method provides an accuracy of up to 84.67% for the heart segmentation, using the balanced cross entropy with only 550 iterations, which is

Methods An automatic method based on active contours without edges was used for left and the right ventricle cavity segmentation.. A large database of 1920 MR images obtained from

Evolution of the Dice loss in validation, for the SegTHOR dataset, in fully supervised setting, using different configuration, from no CoordConv layer to all convolutional

To segment tumor in PET images using multiple features, the spatial evidential clustering algorithm, e.g., SECM [8], is fully improved by integrating unsupervised distance

Table 2: Boundary Recall, Undersegmentation Er- ror, Achievable Segmentation Accuracy and processing time (in seconds) comparisons between SLIC, ERGC and ERGC g on the training part

The proposed framework con- sists of 3 steps: seed detection giving a set of seeds susceptible to belong to the tumor; seed selection allowing to delete aberrant seeds and to