Liver Tumor Segmentation Based on Multi-Scale Candidate Generation ...
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Jun 14, 2019 · To this end, this paper proposes a liver tumor segmentation method on CT volumes using multi-scale candidate generation method (MCG), 3D fractal ...
To this end, this paper proposes a liver tumor segmentation method on CT volumes using multi-scale candidate generation method (MCG), 3D fractal residual ...
Jul 8, 2019 · paper proposes a liver tumor segmentation method on CT volumes using multi-scale candidate generation method (MCG), 3D fractal residual network ...
This paper proposes a liver tumor segmentation method on CT volumes using multi-scale candidate generation method (MCG), 3D fractal residual network (3D ...
To this end, this paper proposes a liver tumor segmentation method on CT volumes using multi-scale candidate generation ... [Show full abstract] method (MCG), ...
For computed tomography (CT) images, a feasible upstream approach to segment a liver region from abdomen using multi-level deep convolutional network and ...
Key Words: Fractal residual network, multi-scale candidate generation method, active contour model, liver tumor segmentation, CT volume. 1. INTRODUCTION. As ...
The proposed network is based on a convolutional encoder-decoder backbone accompanied by improved residual blocks, fractal residual (FR) blocks, and attention ...
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May 11, 2024 · Findings from Northeastern University Update Understanding of Engineering (Liver Tumor Segmentation Based On Multi-scale Candidate Generation ...
In this research work, for computed tomography (CT) images we designed a feasible upstream approach to segment a liver region from abdomen using multi-level ...