Automatic liver tumor segmentation using global and patient specific Convolutional Neural Networks in follow-up CT studies

Abstract. We present a new, fully automatic algorithm for liver tumors segmentation in follow-up CT studies. The inputs are a baseline CT scan and a delineation of the tumors in it and a follow-up scan; the outputs are the tumors delineations in the…

3D segmentation using perceptual computing

Abstract We present a semi-automatic tool for 3D segmentation in volumetric medial sans using natural input from the user. The input onsists of hand motions and gestures aquired using 3D amera. Our method onsists of ve steps: 1) initial 2D…

Automatic liver tumor segmentation in follow-up CT studies using Convolutional Neural Networks

Abstract We present a new, fully automatic algorithm for liver tumors seg-mentation in follow-up CT studies. The inputs are a baseline CT scan and a de-lineation of the tumors in it and a follow-up scan; the outputs are the tumors…

Automatic lung tumor segmentation with leaks removal in follow-up CT studies

Abstract Purpose In modern oncology, disease progression and response to treatment are routinely evaluated with a series of volumetric scans. The number of tumors and their volume (mass) over time provides a quantitative measure for the evaluation. Thus, many of…

Validation of a stereo camera system to quantify brain deformation due to breathing and pulsatility

Abstract Purpose: A new stereo vision system is presented to quantify brain shift and pulsatility in open-skull neurosurgeries. Methods: The system is endowed with hardware and software synchronous image acquisition with timestamp embedding in the captured images, a brain surface…

Automatic lung tumor segmentation with leaks removal in follow-up CT studies

Abstract We present a novel automatic algorithm for lung tumors segmentation in follow-up CT studies. The inputs are a baseline CT scan and a delineation of the tumors in it; the output is the tumor delineations in the follow-up scan.…

Brain Tissue Deformation Tracking with a Paraboloid Model for Outlier Detection

Abstract This paper describes a new method for real-time quantification of brain shift during craniotomy surgery. Our method estimates the deformation on the visible surface of the brain by tracking the 3D location of automatically selected points on the brain…

Modeling and preoperative planning for kidney surgery

Abstract Kidney surgery is a common and complex procedure. The procedure is required to remove kidney tumors and to treat a variety of renal malfunctions. Nowadays, a minimally invasive approach is the method of choice for partial nephrectomy operations. This…

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