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浏览/检索结果: 共9条，第1-9条 帮助 限定条件 专题：兰州理工大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Interactive prostate MR image segmentation based on ConvLSTMs and GGNN 期刊论文 Neurocomputing, 2021, 卷号: 438, 页码: 84-93 作者:  Tian, Zhiqiang;  Li, Xiaojian;  Chen, Zhang;  Zheng, Yaoyue;  Fan, Hongcheng 收藏  |  浏览/下载：11/0  |  提交时间：2021/04/12 Automation  Diseases  Magnetic resonance  Magnetic resonance imaging  Statistical tests  Urology  Automated methods  Graph neural networks  Intensity distribution  Interactive segmentation methods  Prostate cancers  Prostate segmentation  State-of-the-art methods  User interaction   Few-shot learning with deformable convolution for multiscale lesion detection in mammography 期刊论文 Medical Physics, 2020, 卷号: 47, 期号: 7, 页码: 2970-2985 作者:  Li, Ce;  Zhang, Dong;  Tian, Zhiqiang;  Du, Shaoyi;  Qu, Yanyun 收藏  |  浏览/下载：6/0  |  提交时间：2020/11/14 attention factor  deformable convolution  few-shot learning  lesion detection  multiscale feature   Enhanced image no-reference quality assessment based on colour space distribution 期刊论文 IET IMAGE PROCESSING, 2020, 卷号: 14, 期号: 5, 页码: 807-817 作者:  Liu Hao;  Li Ce;  Zhang Dong;  Zhou Yannan;  Du Shaoyi 收藏  |  浏览/下载：13/0  |  提交时间：2020/06/16 feature extraction  image enhancement  image colour analysis  image resolution  reference image  enhanced image quality  grey-scale image quality  low-light images  no-reference quality assessment  colour space distribution  NR image quality assessment model  clear target image  hypothetical reference images  input images  X-ray images  underwater images  dust images  FSIM   Enhanced image no-reference quality assessment based on colour space distribution 期刊论文 IET Image Processing, 2020, 卷号: 14, 期号: 5, 页码: 807-817 作者:  Liu, Hao;  Li, Ce;  Zhang, Dong;  Zhou, Yannan;  Du, Shaoyi 收藏  |  浏览/下载：12/0  |  提交时间：2022/02/17 Color  Image enhancement  Colour differences  Feature similarity(FSIM)  Grey scale images  Human subjective evaluation  Image quality assessment (IQA)  Low-light images  Model-based OPC  Quality assessment   Few‐shot learning with deformable convolution for multiscale lesion detection in mammography 期刊论文 Medical Physics, 2020, 卷号: 47, 期号: 7, 页码: 2970-2985 作者:  Ce Li;  Dong Zhang;  Zhiqiang Tian;  Shaoyi Du;  Yanyun Qu 收藏  |  浏览/下载：15/0  |  提交时间：2020/11/11 Deformation and Refined Features Based Lesion Detection on Chest X-Ray 期刊论文 IEEE Access, 2020, 卷号: 8, 期号: 8, 页码: 14675-14689 作者:  Ce Li;  Dong Zhang;  Shaoyi Du;  Zhiqiang Tian 收藏  |  浏览/下载：14/0  |  提交时间：2020/11/11 Convolution  Convolutional neural networks  Deep neural networks  Deformation  Signal detection   Generative adversarial dehaze mapping nets 期刊论文 Pattern Recognition Letters, 2019, 卷号: 119, 页码: 238-244 作者:  Li, Ce;  Zhao, Xinyu;  Zhang, Zhaoxiang;  Du, Shaoyi 收藏  |  浏览/下载：2/0  |  提交时间：2022/02/17 Learning algorithms  Light sources  Machine learning  Mapping  Artificial light source  Deep architectures  Effective constraints  GADMN  LMHPM  Multiple light scattering  Relevant features  State-of-the-art methods   Generative adversarial dehaze mapping nets 期刊论文 PATTERN RECOGNITION LETTERS, 2019, 卷号: 119, 页码: 238-244 作者:  Li, Ce;  Zhao, Xinyu;  Zhang, Zhaoxiang;  Du, Shaoyi 收藏  |  浏览/下载：0/0  |  提交时间：2019/11/15 GADMN  Haze-relevant features  Multiple-light scattering model  LMHPM   An Object Detection Algorithm with Visual Perception for High-Resolution Remote Sensing Images 期刊论文 Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2018, 卷号: 52, 期号: 6, 页码: 9-16 作者:  Li, Ce;  Zhang, Yachao;  Lan, Tian;  Du, Shaoyi 收藏  |  浏览/下载：1/0  |  提交时间：2020/11/14 Image enhancement  Large dataset  Neural networks  Object detection  Object recognition  Semantics  Signal detection  Vision  Computing resource  Convolutional neural network  Correlation suppression  Detection approach  False alarm probability  High resolution remote sensing images  Object detection algorithms  Remote sensing images