1 code implementation • 23 Jul 2022 • Chen Wei, Shenghan Ren, Kaitai Guo, Haihong Hu, Jimin Liang
Most of the existing Transformer-based networks for medical image segmentation are U-Net-like architecture that contains an encoder that utilizes a sequence of Transformer blocks to convert the input medical image from high-resolution representation into low-resolution feature maps and a decoder that gradually recovers the high-resolution representation from low-resolution feature maps.
no code implementations • 16 Nov 2021 • Yuxuan Liang, Chuang Niu, Chen Wei, Shenghan Ren, Wenxiang Cong, Ge Wang
The phase function is a key element of a light propagation model for Monte Carlo (MC) simulation, which is usually fitted with an analytic function with associated parameters.
no code implementations • 18 Oct 2019 • Yiping Tang, Chuang Niu, Minghao Dong, Shenghan Ren, Jimin Liang
Many of the state-of-the-art methods predict the boundaries of action instances based on predetermined anchors akin to the two-dimensional object detection detectors.
no code implementations • 17 Sep 2018 • Chuang Niu, Shenghan Ren, Jimin Liang
Pixel-level annotation demands expensive human efforts and limits the performance of deep networks that usually benefits from more such training data.