Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks

no code implementations • 28 May 2018 • Jose Dolz, Xiaopan Xu, Jerome Rony, Jing Yuan, Yang Liu, Eric Granger, Christian Desrosiers, Xi Zhang, Ismail Ben Ayed, Hongbing Lu

Precise segmentation of bladder walls and tumor regions is an essential step towards non-invasive identification of tumor stage and grade, which is critical for treatment decision and prognosis of patients with bladder cancer (BC).

Segmentation

Statistical models and regularization strategies in statistical image reconstruction of low-dose X-ray CT: a survey

no code implementations • 4 Dec 2014 • Hao Zhang, Jing Wang, Jianhua Ma, Hongbing Lu, Zhengrong Liang

Statistical image reconstruction (SIR) methods have shown potential to substantially improve the image quality of low-dose X-ray computed tomography (CT) as compared to the conventional filtered back-projection (FBP) method for various clinical tasks.

Computed Tomography (CT) Image Reconstruction