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3D End-to-End Boundary-Aware Networks for Pancreas Segmentation
2022 IEEE International Conference on Image Processing (ICIP)
Year: 2022 | Conference Paper |
Cited by: Papers (1)
Accurate pancreas segmentation is crucial for computer aided pancreas diagnosis and surgery. It still remains challenging to precisely extract the pancreas due to its small size, unclear boundary, and shape variations on CT images. This work proposes a new 3D end-to-end boundary-aware network architecture for automatic accurate pancreas segmentation from CT images. Specifically, this architecture ...Show More
Automatic Recognition of Ocular Surface Diseases on Smartphone Images Using Densely Connected Convolutional Networks
Rong Chen;Wankang Zeng;Wenkang Fan;Fang Lai;Yinran Chen;Xiang Lin;Liying Tang;Weijie Ouyang;Zuguo Liu;Xiongbiao Luo
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Year: 2021 | Conference Paper |
Cited by: Papers (7)
Ocular surface disorder is one of common and prevalence eye diseases and complex to be recognized accurately. This work presents automatic classification of ocular surface disorders in accordance with densely connected convolutional networks and smartphone imaging. We use various smartphone cameras to collect clinical images that contain normal and abnormal, and modify end-to-end densely connected...Show More
Accurate 3d Kidney Segmentation Using Unsupervised Domain Translation And Adversarial Networks
Wankang Zeng;Wenkang Fan;Rong Chen;Zhuohui Zheng;Song Zheng;Jianhui Chen;Rong Liu;Qiang Zeng;Zengqin Liu;Yinran Chen;Xiongbiao Luo
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
Computed tomography urography imaging is routinely performed to evaluate the kidneys. Kidney 3D segmentation and reconstruction from urographic images provides physicians with an intuitive visualization way to accurately diagnose and treat kidney diseases, particularly used in surgical planning and outcome analysis before and after kidney surgery. While 3D fully convolution networks have achieved ...Show More
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results
Jianrui Cai;Shuhang Gu;Radu Timofte;Lei Zhang;Xiao Liu;Yukang Ding;Dongliang He;Chao Li;Yi Fu;Shilei Wen;Ruicheng Feng;Jinjin Gu;Yu Qiao;Chao Dong;Dongwon Park;Se Young Chun;Sanghoon Yoon;Junhyung Kwak;Donghee Son;Syed Waqas Zamir;Aditya Arora;Salman Khan;Fahad Shahbaz Khan;Ling Shao;Zhengping Wei;Lei Liu;Hong Cai;Darui Li;Fujie Gao;Zheng Hui;Xiumei Wang;Xinbo Gao;Guoan Cheng;Ai Matsune;Qiuyu Li;Leilei Zhu;Huaijuan Zang;Shu Zhan;Yajun Qiu;Ruxin wang;Jiawei Li;Yongcheng Jing;Mingli Song;Pengju Liu;Kai Zhang;Jingdong Liu;Jiye Liu;Hongzhi Zhang;Wangmeng Zuo;Wenyi Tang;Jing Liu;Youngjung Kim;Changyeop Shin;Minbeom Kim;Sungho Kim;Pablo Navarrete Michelini;Hanwen Liu;Dan Zhu;Xuan Xu;Xin Li;Furui Bai;Xiaopeng Sun;Lin Zha;Yuanfei Huang;Wen Lu;Yanpeng Cao;Du Chen;Zewei He;Sun Anshun;Siliang Tang;Hongfei Fan;Xiang Li;Guo Li;Wenjie Zhang;Yumei Zhang;Qingwen He;Jinghui Qin;Lishan Huang;Yukai Shi;Pengxu Wei;Wushao Wen;Liang Lin;Jun Yu;Guochen Xie;Mengyan Li;Rong Chen;Xiaotong Luo;Chen Hong;Yanyun Qu;Cuihua Li;Zhi-Song Liu;Li-Wen Wang;Chu-Tak Li;Can Zhao;Bowen Li;Chung-Chi Tsai;Shang-Chih Chuang;Joon-Hee Choi;Joonsoo Kim;Xiaoyun Jiang;Ze Pan;Qunbo Lv;Zheng Tan;Peidong He
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2019 | Conference Paper |
Cited by: Papers (43)
This paper reviewed the 3rd NTIRE challenge on single-image super-resolution (restoration of rich details in a low-resolution image) with a focus on proposed solutions and results. The challenge had 1 track, which was aimed at the real-world single image super-resolution problem with an unknown scaling factor. Participants were mapping low-resolution images captured by a DSLR camera with a shorter...Show More
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results
Jianrui Cai;Shuhang Gu;Radu Timofte;Lei Zhang;Xiao Liu;Yukang Ding;Dongliang He;Chao Li;Yi Fu;Shilei Wen;Ruicheng Feng;Jinjin Gu;Yu Qiao;Chao Dong;Dongwon Park;Se Young Chun;Sanghoon Yoon;Junhyung Kwak;Donghee Son;Syed Waqas Zamir;Aditya Arora;Salman Khan;Fahad Shahbaz Khan;Ling Shao;Zhengping Wei;Lei Liu;Hong Cai;Darui Li;Fujie Gao;Zheng Hui;Xiumei Wang;Xinbo Gao;Guoan Cheng;Ai Matsune;Qiuyu Li;Leilei Zhu;Huaijuan Zang;Shu Zhan;Yajun Qiu;Ruxin wang;Jiawei Li;Yongcheng Jing;Mingli Song;Pengju Liu;Kai Zhang;Jingdong Liu;Jiye Liu;Hongzhi Zhang;Wangmeng Zuo;Wenyi Tang;Jing Liu;Youngjung Kim;Changyeop Shin;Minbeom Kim;Sungho Kim;Pablo Navarrete Michelini;Hanwen Liu;Dan Zhu;Xuan Xu;Xin Li;Furui Bai;Xiaopeng Sun;Lin Zha;Yuanfei Huang;Wen Lu;Yanpeng Cao;Du Chen;Zewei He;Sun Anshun;Siliang Tang;Hongfei Fan;Xiang Li;Guo Li;Wenjie Zhang;Yumei Zhang;Qingwen He;Jinghui Qin;Lishan Huang;Yukai Shi;Pengxu Wei;Wushao Wen;Liang Lin;Jun Yu;Guochen Xie;Mengyan Li;Rong Chen;Xiaotong Luo;Chen Hong;Yanyun Qu;Cuihua Li;Zhi-Song Liu;Li-Wen Wang;Chu-Tak Li;Can Zhao;Bowen Li;Chung-Chi Tsai;Shang-Chih Chuang;Joon-Hee Choi;Joonsoo Kim;Xiaoyun Jiang;Ze Pan;Qunbo Lv;Zheng Tan;Peidong He
Year: 2019 | Conference Paper |
NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results
Radu Timofte;Shuhang Gu;Jiqing Wu;Luc Van Gool;Lei Zhang;Ming-Hsuan Yang;Muhammad Haris;Greg Shakhnarovich;Norimichi Ukita;Shijia Hu;Yijie Bei;Zheng Hui;Xiao Jiang;Yanan Gu;Jie Liu;Yifan Wang;Federico Perazzi;Brian McWilliams;Alexander Sorkine-Hornung;Olga Sorkine-Hornung;Christopher Schroers;Jiahui Yu;Yuchen Fan;Jianchao Yang;Ning Xu;Zhaowen Wang;Xinchao Wang;Thomas S. Huang;Xintao Wang;Ke Yu;Tak-Wai Hui;Chao Dong;Liang Lin;Chen Change Loy;Dongwon Park;Kwanyoung Kim;Se Young Chun;Kai Zhang;Pengjv Liu;Wangmeng Zuo;Shi Guo;Jiye Liu;Jinchang Xu;Yijiao Liu;Fengye Xiong;Yuan Dong;Hongliang Bai;Alexandru Damian;Nikhil Ravi;Sachit Menon;Cynthia Rudin;Junghoon Seo;Taegyun Jeon;Jamyoung Koo;Seunghyun Jeon;Soo Ye Kim;Jae-Seok Choi;Sehwan Ki;Soomin Seo;Hyeonjun Sim;Saehun Kim;Munchurl Kim;Rong Chen;Kun Zeng;Jinkang Guo;Yanyun Qu;Cuihua Li;Namhyuk Ahn;Byungkon Kang;Kyung-Ah Sohn;Yuan Yuan;Jiawei Zhang;Jiahao Pang;Xiangyu Xu;Yan Zhao;Wei Deng;Sibt Ul Hussain;Muneeb Aadil;Rafia Rahim;Xiaowang Cai;Fang Huang;Yueshu Xu;Pablo Navarrete Michelini;Dan Zhu;Hanwen Liu;Jun-Hyuk Kim;Jong-Seok Lee;Yiwen Huang;Ming Qiu;Liting Jing;Jiehang Zeng;Ying Wang;Manoj Sharma;Rudrabha Mukhopadhyay;Avinash Upadhyay;Sriharsha Koundinya;Ankit Shukla;Santanu Chaudhury;Zhe Zhang;Yu Hen Hu;Lingzhi Fu
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2018 | Conference Paper |
Cited by: Papers (183)
This paper reviews the 2nd NTIRE challenge on single image super-resolution (restoration of rich details in a low resolution image) with focus on proposed solutions and results. The challenge had 4 tracks. Track 1 employed the standard bicubic downscaling setup, while Tracks 2, 3 and 4 had realistic unknown downgrading operators simulating camera image acquisition pipeline. The operators were lear...Show More
NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results
Radu Timofte;Shuhang Gu;Jiqing Wu;Luc Van Gool;Lei Zhang;Ming-Hsuan Yang;Muhammad Haris;Greg Shakhnarovich;Norimichi Ukita;Shijia Hu;Yijie Bei;Zheng Hui;Xiao Jiang;Yanan Gu;Jie Liu;Yifan Wang;Federico Perazzi;Brian McWilliams;Alexander Sorkine-Hornung;Olga Sorkine-Hornung;Christopher Schroers;Jiahui Yu;Yuchen Fan;Jianchao Yang;Ning Xu;Zhaowen Wang;Xinchao Wang;Thomas S. Huang;Xintao Wang;Ke Yu;Tak-Wai Hui;Chao Dong;Liang Lin;Chen Change Loy;Dongwon Park;Kwanyoung Kim;Se Young Chun;Kai Zhang;Pengjv Liu;Wangmeng Zuo;Shi Guo;Jiye Liu;Jinchang Xu;Yijiao Liu;Fengye Xiong;Yuan Dong;Hongliang Bai;Alexandru Damian;Nikhil Ravi;Sachit Menon;Cynthia Rudin;Junghoon Seo;Taegyun Jeon;Jamyoung Koo;Seunghyun Jeon;Soo Ye Kim;Jae-Seok Choi;Sehwan Ki;Soomin Seo;Hyeonjun Sim;Saehun Kim;Munchurl Kim;Rong Chen;Kun Zeng;Jinkang Guo;Yanyun Qu;Cuihua Li;Namhyuk Ahn;Byungkon Kang;Kyung-Ah Sohn;Yuan Yuan;Jiawei Zhang;Jiahao Pang;Xiangyu Xu;Yan Zhao;Wei Deng;Sibt Ul Hussain;Muneeb Aadil;Rafia Rahim;Xiaowang Cai;Fang Huang;Yueshu Xu;Pablo Navarrete Michelini;Dan Zhu;Hanwen Liu;Jun-Hyuk Kim;Jong-Seok Lee;Yiwen Huang;Ming Qiu;Liting Jing;Jiehang Zeng;Ying Wang;Manoj Sharma;Rudrabha Mukhopadhyay;Avinash Upadhyay;Sriharsha Koundinya;Ankit Shukla;Santanu Chaudhury;Zhe Zhang;Yu Hen Hu;Lingzhi Fu
Year: 2018 | Conference Paper |
Persistent Memory Residual Network for Single Image Super Resolution
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2018 | Conference Paper |
Cited by: Papers (13)
Progresses has been witnessed in single image superresolution in which the low-resolution images are simulated by bicubic downsampling. However, for the complex image degradation in the wild such as downsampling, blurring, noises, and geometric deformation, the existing superresolution methods do not work well. Inspired by a persistent memory network which has been proven to be effective in image ...Show More
Research on color correction algorithm for mobile-end tongue images
2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
Year: 2017 | Conference Paper |
Shadows and chromatic aberration problems are existed in the mobile tongue images, which result in tongue images obtained from the mobile devices cannot be directly used for auxiliary diagnosis. To better acquire the color features of the tongue images, we analyze the HIT tongue database and our mobile tongue dataset. Comparing to the HIT tongue database, we found insufficient exposure might be th...Show More
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