1 code implementation • ICCV 2023 • Zongyi Xu, Bo Yuan, Shanshan Zhao, Qianni Zhang, Xinbo Gao
The most recent methods of this kind measure the uncertainty of each pre-divided region for manual labelling but they suffer from redundant information and require additional efforts for region division.
1 code implementation • 21 Jun 2023 • Kit Mills Bransby, Greg Slabaugh, Christos Bourantas, Qianni Zhang
We present a novel methodology that combines graph and dense segmentation techniques by jointly learning both point and pixel contour representations, thereby leveraging the benefits of each approach.
no code implementations • 28 Feb 2023 • Kit Mills Bransby, Vincenzo Tufaro, Murat Cap, Greg Slabaugh, Christos Bourantas, Qianni Zhang
X-ray coronary angiography (XCA) is used to assess coronary artery disease and provides valuable information on lesion morphology and severity.
1 code implementation • 2 Aug 2022 • Weiwei Cui, Yaqi Wang, Yilong Li, Dan Song, Xingyong Zuo, Jiaojiao Wang, Yifan Zhang, Huiyu Zhou, Bung san Chong, Liaoyuan Zeng, Qianni Zhang
This work provides a new benchmark for the tooth volume segmentation task, and the experiment can serve as the baseline for future AI-based dental imaging research and clinical application development.
no code implementations • 17 Jun 2022 • Yilong Li, Yaqi Wang, Huiyu Zhou, Huaqiong Wang, Gangyong Jia, Qianni Zhang
In this paper, we introduce an unsupervised cancer segmentation framework for histology images.
1 code implementation • 17 Jun 2022 • Weiwei Cui, Yaqi Wang, Qianni Zhang, Huiyu Zhou, Dan Song, Xingyong Zuo, Gangyong Jia, Liaoyuan Zeng
Several state-of-the-art segmentation methods are evaluated on this dataset.
no code implementations • 16 Mar 2022 • Woody Bayliss, Luka Murn, Ebroul Izquierdo, Qianni Zhang, Marta Mrak
In video coding, in-loop filters are applied on reconstructed video frames to enhance their perceptual quality, before storing the frames for output.
no code implementations • 28 Oct 2021 • Yunxiang Li, Jingxiong Li, Ruilong Dan, Shuai Wang, Kai Jin, Guodong Zeng, Jun Wang, Xiangji Pan, Qianni Zhang, Huiyu Zhou, Qun Jin, Li Wang, Yaqi Wang
To mitigate this problem, a novel unsupervised domain adaptation (UDA) method named dispensed Transformer network (DTNet) is introduced in this paper.
1 code implementation • 30 Sep 2021 • Yunxiang Li, Shuai Wang, Jun Wang, Guodong Zeng, Wenjun Liu, Qianni Zhang, Qun Jin, Yaqi Wang
In this paper, we propose a novel end-to-end U-Net like Group Transformer Network (GT U-Net) for the tooth root segmentation.
1 code implementation • 26 Sep 2021 • Yibao Sun, Giussepi Lopez, Yaqi Wang, Xingru Huang, Huiyu Zhou, Qianni Zhang
Cancer segmentation in whole-slide images is a fundamental step for viable tumour burden estimation, which is of great value for cancer assessment.
1 code implementation • 2 Jul 2021 • Yibao Sun, Xingru Huang, Yaqi Wang, Huiyu Zhou, Qianni Zhang
Experimental results show that the SMSE improves the performance for histopathological image classification tasks for both breast and liver cancers by a large margin compared to previous methods.
1 code implementation • 25 Jun 2021 • Yibao Sun, Xingru Huang, Huiyu Zhou, Qianni Zhang
The embedding layer is added into the region proposal networks, enabling the networks to learn discriminative features based on similarity learning.
1 code implementation • 2 May 2021 • Yunxiang Li, Guodong Zeng, Yifan Zhang, Jun Wang, Qianni Zhang, Qun Jin, Lingling Sun, Qisi Lian, Neng Xia, Ruizi Peng, Kai Tang, Yaqi Wang, Shuai Wang
Accurate evaluation of the treatment result on X-ray images is a significant and challenging step in root canal therapy since the incorrect interpretation of the therapy results will hamper timely follow-up which is crucial to the patients' treatment outcome.
no code implementations • 7 Mar 2021 • Yunxiang Li, Yifan Zhang, Yaqi Wang, Shuai Wang, Ruizi Peng, Kai Tang, Qianni Zhang, Jun Wang, Qun Jin, Lingling Sun
As the most economical and routine auxiliary examination in the diagnosis of root canal treatment, oral X-ray has been widely used by stomatologists.
1 code implementation • 7 Jan 2021 • Aite Zhao, Jianbo Li, Junyu Dong, Lin Qi, Qianni Zhang, Ning li, Xin Wang, Huiyu Zhou
In recent years, single modality based gait recognition has been extensively explored in the analysis of medical images or other sensory data, and it is recognised that each of the established approaches has different strengths and weaknesses.
no code implementations • 21 Aug 2020 • Long Chen, Zheheng Jiang, Lei Tong, Zhihua Liu, Aite Zhao, Qianni Zhang, Junyu Dong, Huiyu Zhou
Underwater image enhancement, as a pre-processing step to improve the accuracy of the following object detection task, has drawn considerable attention in the field of underwater navigation and ocean exploration.
no code implementations • 21 Aug 2020 • Zhang Li, Jiehua Zhang, Tao Tan, Xichao Teng, Xiaoliang Sun, Yang Li, Lihong Liu, Yang Xiao, Byungjae Lee, Yilong Li, Qianni Zhang, Shujiao Sun, Yushan Zheng, Junyu Yan, Ni Li, Yiyu Hong, Junsu Ko, Hyun Jung, Yanling Liu, Yu-cheng Chen, Ching-Wei Wang, Vladimir Yurovskiy, Pavel Maevskikh, Vahid Khanagha, Yi Jiang, Xiangjun Feng, Zhihong Liu, Daiqiang Li, Peter J. Schüffler, Qifeng Yu, Hui Chen, Yuling Tang, Geert Litjens
All methods were based on deep learning and categorized into two groups: multi-model method and single model method.
1 code implementation • 18 Jul 2020 • Zhihua Liu, Lei Tong, Zheheng Jiang, Long Chen, Feixiang Zhou, Qianni Zhang, Xiangrong Zhang, Yaochu Jin, Huiyu Zhou
Brain tumor segmentation is one of the most challenging problems in medical image analysis.
1 code implementation • 15 Jul 2020 • Zhihua Liu, Lei Tong, Long Chen, Feixiang Zhou, Zheheng Jiang, Qianni Zhang, Yinhai Wang, Caifeng Shan, Ling Li, Huiyu Zhou
Automated segmentation of brain glioma plays an active role in diagnosis decision, progression monitoring and surgery planning.
1 code implementation • 2 Jun 2019 • Lei Tong, Zhihua Liu, Zheheng Jiang, Feixiang Zhou, Long Chen, Jialin Lyu, Xiangrong Zhang, Qianni Zhang, Abdul Sadka Senior, Yinhai Wang, Ling Li, Huiyu Zhou
Depression is one of the most common mental health disorders, and a large number of depressed people commit suicide each year.
no code implementations • 31 Jan 2019 • Zhaoyang Xu, Faranak Sobhani, Carlos Fernandez Moro, Qianni Zhang
We present a novel neural network architecture, US-Net, for robust nuclei instance segmentation in histopathology images.
no code implementations • 13 Jan 2019 • Zhaoyang Xu, Xingru Huang, Carlos Fernández Moro, Béla Bozóky, Qianni Zhang
We proposed a conditional CycleGAN (cCGAN) network to transform the H\&E stained images into IHC stained images, facilitating virtual IHC staining on the same slide.
no code implementations • 6 Jul 2016 • Le Dong, Ling He, Gaipeng Kong, Qianni Zhang, Xiaochun Cao, Ebroul Izquierdo
In this paper, we propose a compact network called CUNet (compact unsupervised network) to counter the image classification challenge.
no code implementations • 2 Jul 2016 • Le Dong, Xiuyuan Chen, Mengdie Mao, Qianni Zhang
This paper proposes a classification network to image semantic retrieval (NIST) framework to counter the image retrieval challenge.
no code implementations • 2 Jul 2016 • Le Dong, Na Lv, Qianni Zhang, Shanshan Xie, Ling He, Mengdie Mao
The result implies that our approach is more efficient than the conventional deep learning approaches, and can be applied to big data that is too complex for parameter designing focused approaches.