no code implementations • 3 Mar 2019 • Hao Li, Jun Li, Xiaozhu Lin, Xiaohua Qian
The irregular geometry and high inter-slice variability in computerized tomography (CT) scans of the human pancreas make an accurate segmentation of this crucial organ a challenging task for existing data-driven deep learning methods.
no code implementations • 3 Mar 2019 • Jun Li, Xiaozhu Lin, Hui Che, Hao Li, Xiaohua Qian
To alleviate these problems, we propose a probabilistic-map-guided bi-directional recurrent UNet (PBR-UNet) architecture, which fuses intra-slice information and inter-slice probabilistic maps into a local 3D hybrid regularization scheme, which is followed by bi-directional recurrent network optimization.
no code implementations • 16 Feb 2019 • Meiyu Li, Hailiang Tang, Michael D. Chan, Xiaobo Zhou, Xiaohua Qian
Pseudoprogression (PsP) occurs in 20-30% of patients with glioblastoma multiforme (GBM) after receiving the standard treatment.