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While bottom-up and top-down processes have shown effectiveness during predicting attention and eye fixation maps on images, in this paper, inspired by the perceptual organization mechanism before attention selection, we propose to utilize figure-ground maps for the purpose. So as to take both pixel-wise and region-wise interactions into consideration when predicting label probabilities for each pixel,...
This paper presents a hierarchical approach to model tumor motion dynamics for image guided radiation therapy. Respiration induced tumor motion poses a significant challenge for using radiation therapy for tumors in the thorax and abdomen areas of the patients. The continuous motion of the tumor during radiation therapy can degrade the accuracy of radiation delivery and cause adverse effect on the...
This paper presents a multi-resolution approach for tumor motion modeling as a function of respiratory motion of the patient for the purpose of conformal radiation therapy. Respiration induced tumor motion can distort the shape of the tumor, degrade the anatomic position reproducibility during imaging, and necessitate larger margins during radiation therapy planning which may be harmful for healthy...
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