no code implementations • 30 Apr 2024 • Siyi Xun, Qiaoyu Li, Xiaohong Liu, Guangtao Zhai, Mingxiang Wu, Tao Tan
Computed Tomography (CT) is a frequently utilized imaging technology that is employed in the clinical diagnosis of many disorders.
no code implementations • 15 Apr 2024 • Xinyu Xie, Yawen Cui, Chio-in Ieong, Tao Tan, Xiaozhi Zhang, Xubin Zheng, Zitong Yu
In this paper, we propose FusionMamba, a novel dynamic feature enhancement method for multimodal image fusion with Mamba.
no code implementations • 1 Apr 2024 • Yibin Ye, Xichao Teng, Shuo Chen, Yijie Bian, Tao Tan, Zhang Li
Optical-SAR image matching is a fundamental task for image fusion and visual navigation.
1 code implementation • 2 Feb 2024 • Rongsheng Wang, Haoming Chen, Ruizhe Zhou, Han Ma, Yaofei Duan, Yanlan Kang, Songhua Yang, Baoyu Fan, Tao Tan
We then proposed LLM-Detector, a novel method for both document-level and sentence-level text detection through Instruction Tuning of LLMs.
1 code implementation • 17 Jan 2024 • Luyi Han, Tao Tan, Tianyu Zhang, Yuan Gao, Xin Wang, Valentina Longo, Sofía Ventura-Díaz, Anna D'Angelo, Jonas Teuwen, Ritse Mann
We use a clinical dataset with 1630 MRI scans from 314 patients treated with NAC.
1 code implementation • 29 Dec 2023 • Xiangyu Xiong, Yue Sun, Xiaohong Liu, Wei Ke, Chan-Tong Lam, Jiangang Chen, Mingfeng Jiang, Mingwei Wang, Hui Xie, Tong Tong, Qinquan Gao, Hao Chen, Tao Tan
Experimental results show that DisGAN consistently outperforms the GAN-based augmentation methods with explainable binary classification.
1 code implementation • 22 Dec 2023 • Rongsheng Wang, Haoming Chen, Ruizhe Zhou, Yaofei Duan, Kunyan Cai, Han Ma, Jiaxi Cui, Jian Li, Patrick Cheong-Iao Pang, Yapeng Wang, Tao Tan
This work is pioneering in the execution of instruction fine-tuning on a sparse expert-mixed model, marking a significant breakthrough in enhancing the capabilities of this model architecture.
no code implementations • 25 Nov 2023 • Luyi Han, Tao Tan, Ritse Mann
The domain adaptation approach has gained significant acceptance in transferring styles across various vendors and centers, along with filling the gaps in modalities.
1 code implementation • 24 Nov 2023 • Xiangyu Xiong, Yue Sun, Xiaohong Liu, Chan-Tong Lam, Tong Tong, Hao Chen, Qinquan Gao, Wei Ke, Tao Tan
Although current data augmentation methods are successful to alleviate the data insufficiency, conventional augmentation are primarily intra-domain while advanced generative adversarial networks (GANs) generate images remaining uncertain, particularly in small-scale datasets.
1 code implementation • 17 Nov 2023 • Tao Wang, Yuanbin Chen, Xinlin Zhang, Yuanbo Zhou, Junlin Lan, Bizhe Bai, Tao Tan, Min Du, Qinquan Gao, Tong Tong
Inspired by semi-supervised algorithms that use both labeled and unlabeled data for training, we propose the PLGDF framework, which builds upon the mean teacher network for segmenting medical images with less annotation.
1 code implementation • 31 Aug 2023 • Yuanbin Chen, Tao Wang, Hui Tang, Longxuan Zhao, Ruige Zong, Shun Chen, Tao Tan, Xinlin Zhang, Tong Tong
In this paper, we present a novel semi-supervised learning method, Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation (DCPA), for medical image segmentation.
1 code implementation • 20 Jul 2023 • Rongsheng Wang, Yaofei Duan, ChanTong Lam, Jiexi Chen, Jiangsheng Xu, Haoming Chen, Xiaohong Liu, Patrick Cheong-Iao Pang, Tao Tan
General large language models (LLMs) such as ChatGPT have shown remarkable success.
no code implementations • 6 Jul 2023 • Xin Wang, Tao Tan, Yuan Gao, Luyi Han, Tianyu Zhang, Chunyao Lu, Regina Beets-Tan, Ruisheng Su, Ritse Mann
The question of 'what the symmetrical Bi-MG would look like when the asymmetrical abnormalities have been removed ?'
1 code implementation • 3 Jul 2023 • Tianyu Zhang, Luyi Han, Anna D'Angelo, Xin Wang, Yuan Gao, Chunyao Lu, Jonas Teuwen, Regina Beets-Tan, Tao Tan, Ritse Mann
DWIs with different b-values are fused to efficiently utilize the difference features of DWIs.
1 code implementation • 29 Jun 2023 • Tao Wang, Xinlin Zhang, Yuanbo Zhou, Junlin Lan, Tao Tan, Min Du, Qinquan Gao, Tong Tong
To address this limitation, we propose an AL-based method that can be simultaneously applied to 2D medical image classification, segmentation, and 3D medical image segmentation tasks.
1 code implementation • 11 Jun 2023 • Shan Huang, Xiaohong Liu, Tao Tan, Menghan Hu, Xiaoer Wei, TingLi Chen, Bin Sheng
We perform a generative task to encapsulate diverse priors into a generative network (GAN), which is the decoder sub-module of the deep non-local feature capture part, in the first stage.
1 code implementation • 16 May 2023 • Yunlong Dong, Xiaohong Liu, Yixuan Gao, Xunchu Zhou, Tao Tan, Guangtao Zhai
To this end, we first construct a Low-Light Video Enhancement Quality Assessment (LLVE-QA) dataset in which 254 original low-light videos are collected and then enhanced by leveraging 8 LLVE algorithms to obtain 2, 060 videos in total.
1 code implementation • 3 Feb 2023 • Tianyu Zhang, Tao Tan, Luyi Han, Xin Wang, Yuan Gao, Jonas Teuwen, Regina Beets-Tan, Ritse Mann
Then the multi-parameter fusion with attention module enables the interaction of the encoded information from different parameters through a set of algorithmic strategies, and applies different weights to the information through the attention mechanism after information fusion to obtain refined representation information.
1 code implementation • 1 Feb 2023 • Luyi Han, Tao Tan, Tianyu Zhang, Yunzhi Huang, Xin Wang, Yuan Gao, Jonas Teuwen, Ritse Mann
Multi-sequence MRIs can be necessary for reliable diagnosis in clinical practice due to the complimentary information within sequences.
no code implementations • 16 Jan 2023 • Yiping Jiao, Jeroen van der Laak, Shadi Albarqouni, Zhang Li, Tao Tan, Abhir Bhalerao, Jiabo Ma, Jiamei Sun, Johnathan Pocock, Josien P. W. Pluim, Navid Alemi Koohbanani, Raja Muhammad Saad Bashir, Shan E Ahmed Raza, Sibo Liu, Simon Graham, Suzanne Wetstein, Syed Ali Khurram, Thomas Watson, Nasir Rajpoot, Mitko Veta, Francesco Ciompi
Additionally, we present post-competition results where we show how the presented methods perform on an independent set of lung cancer slides, which was not part of the initial competition, as well as a comparison on lymphocyte assessment between presented methods and a panel of pathologists.
no code implementations • CVPR 2023 • Tao Tan, Qiulei Dong
The teacher model contains a backbone estimation module for initial object pose estimation, and an object pose refiner for refining the initial object poses using a geometric constraint (called relative-pose constraint) derived from relative camera poses.
no code implementations • 11 Oct 2022 • WenBo Du, Tao Tan, Haijun Zhang, Xianbin Cao, Gang Yan, Osvaldo Simeone
If the data timings and ACK timings of two nodes -- say node 1 and node 2, respectively -- are causally related, this may be taken as evidence that node 1 is communicating to node 2 (which sends back ACK packets to node 1).
1 code implementation • 9 Oct 2022 • Luyi Han, Yunzhi Huang, Tao Tan, Ritse Mann
Domain adaptation has been widely adopted to transfer styles across multi-vendors and multi-centers, as well as to complement the missing modalities.
no code implementations • 17 Sep 2021 • Hamed Fayyaz, Ehsan Kozegar, Tao Tan, Mohsen Soryani
Automated 3-D breast ultrasound (ABUS) is a newfound system for breast screening that has been proposed as a supplementary modality to mammography for breast cancer detection.
1 code implementation • 16 Jun 2021 • Xiaomeng Dong, Tao Tan, Michael Potter, Yun-chan Tsai, Gaurav Kumar, V. Ratna Saripalli, Theodore Trafalis
There is a parameter ubiquitous throughout the deep learning world: learning rate.
no code implementations • 10 Nov 2020 • Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K S Shriram, Utkarsh Agrawal, Laszlo Rusko, Zita Herczeg, Barbara Darazs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash
The COVID-19 pandemic continues to spread and impact the well-being of the global population.
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.
no code implementations • 11 Feb 2020 • Xin Wang, Ruisheng Su, Weiyi Xie, Wenjin Wang, Yi Xu, Ritse Mann, Jungong Han, Tao Tan
Such performance gain is more pronounced with transfer learning or in the case of limited training data.
no code implementations • 6 May 2019 • Jie Xing, Zheren Li, Biyuan Wang, Yuji Qi, Bingbin Yu, Farhad G. Zanjani, Aiwen Zheng, Remco Duits, Tao Tan
The method takes the advantage of a fully convolutional neural network (FCN) and a generative adversarial net to segment a lesion by using prior knowledge.
no code implementations • 14 Mar 2018 • Zhang Li, Zheyu Hu, Jiaolong Xu, Tao Tan, Hui Chen, Zhi Duan, Ping Liu, Jun Tang, Guoping Cai, Quchang Ouyang, Yuling Tang, Geert Litjens, Qiang Li
Aim: Early detection and correct diagnosis of lung cancer are the most important steps in improving patient outcome.
no code implementations • 10 Feb 2018 • Tao Tan, Zhang Li, Haixia Liu, Ping Liu, Wenfang Tang, Hui Li, Yue Sun, Yusheng Yan, Keyu Li, Tao Xu, Shanshan Wan, Ke Lou, Jun Xu, Huiming Ying, Quchang Ouyang, Yuling Tang, Zheyu Hu, Qiang Li
To help doctors to be more selective on biopsies and provide a second opinion on diagnosis, in this work, we propose a computer-aided diagnosis (CAD) system for lung diseases including cancers and tuberculosis (TB).
1 code implementation • 23 Dec 2017 • Dongsheng Jiang, Weiqiang Dou, Luc Vosters, Xiayu Xu, Yue Sun, Tao Tan
Without noise level parameter, our general noise-applicable model is also better than the other compared methods in two datasets.