1 code implementation • 20 Feb 2024 • Junjia Huang, Haofeng Li, Xiang Wan, Guanbin Li
The recognition of multi-class cell nuclei can significantly facilitate the process of histopathological diagnosis.
1 code implementation • 20 Feb 2024 • Wei Lou, Guanbin Li, Xiang Wan, Haofeng Li
Nuclei classification is a critical step in computer-aided diagnosis with histopathology images.
1 code implementation • 5 Feb 2024 • Haifan Gong, Luoyao Kang, YiTao Wang, Xiang Wan, Haofeng Li
Extensive experiments on 6 datasets demonstrate nnMamba's superiority over state-of-the-art methods in a suite of challenging tasks, including 3D image segmentation, classification, and landmark detection.
1 code implementation • ICCV 2023 • Junjia Huang, Haofeng Li, Xiang Wan, Guanbin Li
Multi-class cell nuclei detection is a fundamental prerequisite in the diagnosis of histopathology.
1 code implementation • 22 Oct 2023 • Xinyi Yu, Guanbin Li, Wei Lou, SiQi Liu, Xiang Wan, Yan Chen, Haofeng Li
Therefore, augmenting a dataset with only a few labeled images to improve the segmentation performance is of significant research and application value.
1 code implementation • 22 Oct 2023 • Junjia Huang, Haofeng Li, Weijun Sun, Xiang Wan, Guanbin Li
Automatic nuclei detection and classification can produce effective information for disease diagnosis.
1 code implementation • 22 Oct 2023 • Zihang Xu, Haifan Gong, Xiang Wan, Haofeng Li
To address the task, we propose a new UDA framework based on Appearance and Structure Consistency, named ASC.
1 code implementation • 22 Oct 2023 • Luoyao Kang, Haifan Gong, Xiang Wan, Haofeng Li
Furthermore, we propose a Prompt fine-Tuning (PT) scheme to transfer the knowledge from AD prediction task for progressive MCI (pMCI) diagnosis.
1 code implementation • 22 Oct 2023 • Wei Lou, Xinyi Yu, Chenyu Liu, Xiang Wan, Guanbin Li, SiQi Liu, Haofeng Li
Afterward, we train a separate segmentation model for each category using the images in the corresponding category.
no code implementations • 10 Aug 2023 • Jun Ma, Ronald Xie, Shamini Ayyadhury, Cheng Ge, Anubha Gupta, Ritu Gupta, Song Gu, Yao Zhang, Gihun Lee, Joonkee Kim, Wei Lou, Haofeng Li, Eric Upschulte, Timo Dickscheid, José Guilherme de Almeida, Yixin Wang, Lin Han, Xin Yang, Marco Labagnara, Vojislav Gligorovski, Maxime Scheder, Sahand Jamal Rahi, Carly Kempster, Alice Pollitt, Leon Espinosa, Tâm Mignot, Jan Moritz Middeke, Jan-Niklas Eckardt, Wangkai Li, Zhaoyang Li, Xiaochen Cai, Bizhe Bai, Noah F. Greenwald, David Van Valen, Erin Weisbart, Beth A. Cimini, Trevor Cheung, Oscar Brück, Gary D. Bader, Bo wang
This benchmark and the improved algorithm offer promising avenues for more accurate and versatile cell analysis in microscopy imaging.
no code implementations • 22 Feb 2023 • Wei Lou, Xiang Wan, Guanbin Li, Xiaoying Lou, Chenghang Li, Feng Gao, Haofeng Li
Next, we convert a histopathology image into a graph structure with nuclei as nodes, and build a graph neural network to embed the spatial distribution of nuclei into their representations.
1 code implementation • 20 Dec 2022 • Wei Lou, Haofeng Li, Guanbin Li, Xiaoguang Han, Xiang Wan
Recently deep neural networks, which require a large amount of annotated samples, have been widely applied in nuclei instance segmentation of H\&E stained pathology images.
1 code implementation • 20 Sep 2022 • Haofeng Li, Junjia Huang, Guanbin Li, Zhou Liu, Yihong Zhong, Yingying Chen, Yunfei Wang, Xiang Wan
Deep neural networks (DNNs) have been widely adopted in brain lesion detection and segmentation.
1 code implementation • 19 Sep 2022 • Junjia Huang, Haofeng Li, Guanbin Li, Xiang Wan
Self-supervised learning methods based on image patch reconstruction have witnessed great success in training auto-encoders, whose pre-trained weights can be transferred to fine-tune other downstream tasks of image understanding.
1 code implementation • 31 Jul 2022 • Jiutao Yue, Haofeng Li, Pengxu Wei, Guanbin Li, Liang Lin
Since the frequency masking may not only destroys the adversarial perturbations but also affects the sharp details in a clean image, we further develop an adversarial sample classifier based on the frequency domain of images to determine if applying the proposed mask module.
no code implementations • 14 May 2022 • Wenhao Huang, Haifan Gong, huan zhang, Yu Wang, Haofeng Li, Guanbin Li, Hong Shen
CT-based bronchial tree analysis plays an important role in the computer-aided diagnosis for respiratory diseases, as it could provide structured information for clinicians.
no code implementations • 3 Jun 2021 • Hong-Yu Zhou, Chengdi Wang, Haofeng Li, Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu
Semi-Supervised classification and segmentation methods have been widely investigated in medical image analysis.
no code implementations • 17 Sep 2020 • Haofeng Li, Yirui Zeng, Guanbin Li, Liang Lin, Yizhou Yu
The field of computer vision has witnessed phenomenal progress in recent years partially due to the development of deep convolutional neural networks.
no code implementations • 22 Jan 2020 • Haofeng Li, Guanbin Li, BinBin Yang, Guanqi Chen, Liang Lin, Yizhou Yu
The proposed algorithm for the first time achieves competitive accuracy and high inference efficiency simultaneously with a single CPU thread.
2 code implementations • ICCV 2019 • Haofeng Li, Guanqi Chen, Guanbin Li, Yizhou Yu
In this paper, we develop a multi-task motion guided video salient object detection network, which learns to accomplish two sub-tasks using two sub-networks, one sub-network for salient object detection in still images and the other for motion saliency detection in optical flow images.
no code implementations • 9 May 2019 • Haofeng Li, Guanbin Li, Yizhou Yu
To our knowledge, this paper is the first one that mounts successful adversarial attacks on salient object detection models and verifies that adversarial samples are effective on a wide range of existing methods.
no code implementations • 27 Apr 2019 • Xiang He, Sibei Yang, Guanbin Li?, Haofeng Li, Huiyou Chang, Yizhou Yu
In this paper, we discover that global spatial dependencies and global contextual information in a biomedical image can be exploited to defend against adversarial attacks.
no code implementations • 1 Apr 2019 • Kan Wu, Guanbin Li, Haofeng Li, Jianjun Zhang, Yizhou Yu
As a concrete example, a database of over 1. 2 million visual objects has been built using the proposed method, and has been successfully used in various data-driven image applications.
no code implementations • 21 Dec 2017 • Haofeng Li, Guanbin Li, Liang Lin, Yizhou Yu
Our proposed GAN-based framework consists of a fully convolutional design for the generator which helps to better preserve spatial structures and a joint loss function with a revised perceptual loss to capture high-level semantics in the context.