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Image and Video Processing
Deep 3D Medical Image Mating
3D Matting: A Benchmark Study on Soft Segmentation Method for Pulmonary Nodules Applied in Computed Tomography
It is challenging to distinguish their boundaries in medical imaging due to the pathological nature of the lesions.
However, these ambiguous regions may contain diagnostic information for subsequent diagnosis and treatment.
We adapt four state-of-the-art 2d image matting algorithms to 3d scenes and further customize the methods for ct images to calibrate the alpha matte with the radiodensity.
Moreover, we propose the first end-to-end deep 3d matting network and implement a solid 3d medical image matting benchmark.
Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Yi Luo, Huan Luo, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, Zongyuan Ge
Deep learning based methods
End-to - end deep 3d matting network
Data-driven deep-learning - based methods
2d image matting algorithms
Image matting methods
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