400 citations · 2.1k across the 33 of their papers we have counts for
34 papers
EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks
Liyu Shi, Xiaoyan Li, Weiming Hu +15
Background and Purpose: Colorectal cancer is a common fatal malignancy, the fourth most common cancer in men, and the third most common cancer in women worldwide. Timely detection…
IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach
Haoyuan Chen, Chen Li, Xiaoyan Li +8
In recent years, colorectal cancer has become one of the most significant diseases that endanger human health. Deep learning methods are increasingly important for the classificati…
A Comparative Study of Gastric Histopathology Sub-size Image Classification: from Linear Regression to Visual Transformer
Weiming Hu, Haoyuan Chen, Wanli Liu +5
Gastric cancer is the fifth most common cancer in the world. At the same time, it is also the fourth most deadly cancer. Early detection of cancer exists as a guide for the treatme…
Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer
Haiqing Zhang, Chen Li, Shiliang Ai +7
The gold standard for gastric cancer detection is gastric histopathological image analysis, but there are certain drawbacks in the existing histopathological detection and diagnosi…
Application of Transfer Learning and Ensemble Learning in Image-level Classification for Breast Histopathology
Yuchao Zheng, Chen Li, Xiaomin Zhou +8
Background: Breast cancer has the highest prevalence in women globally. The classification and diagnosis of breast cancer and its histopathological images have always been a hot sp…
EBHI:A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation
Weiming Hu, Chen Li, Xiaoyan Li +9
Background and purpose: Colorectal cancer has become the third most common cancer worldwide, accounting for approximately 10% of cancer patients. Early detection of the disease is…
GasHis-Transformer: A Multi-scale Visual Transformer Approach for Gastric Histopathological Image Detection
Haoyuan Chen, Chen Li, Ge Wang +9
In this paper, a multi-scale visual transformer model, referred as GasHis-Transformer, is proposed for Gastric Histopathological Image Detection (GHID), which enables the automatic…
A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches
Chen Li, Xintong Li, Md Rahaman +8
With the development of computer-aided diagnosis (CAD) and image scanning technology, Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis. There…
DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques
Md Mamunur Rahaman, Chen Li, Yudong Yao +4
Cervical cancer, one of the most common fatal cancers among women, can be prevented by regular screening to detect any precancerous lesions at early stages and treat them. Pap smea…
Towards Annotation-Free Evaluation of Cross-Lingual Image Captioning
Aozhu Chen, Xinyi Huang, Hailan Lin +1
Cross-lingual image captioning, with its ability to caption an unlabeled image in a target language other than English, is an emerging topic in the multimedia field. In order to sa…
Learning Two-Stream CNN for Multi-Modal Age-related Macular Degeneration Categorization
Weisen Wang, Xirong Li, Zhiyan Xu +4
This paper tackles automated categorization of Age-related Macular Degeneration (AMD), a common macular disease among people over 50. Previous research efforts mainly focus on AMD…
SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries
Xirong Li, Fangming Zhou, Chaoxi Xu +2
Retrieving unlabeled videos by textual queries, known as Ad-hoc Video Search (AVS), is a core theme in multimedia data management and retrieval. The success of AVS counts on cross-…
Dual Encoding for Video Retrieval by Text
Jianfeng Dong, Xirong Li, Chaoxi Xu +4
This paper attacks the challenging problem of video retrieval by text. In such a retrieval paradigm, an end user searches for unlabeled videos by ad-hoc queries described exclusive…
Feature Re-Learning with Data Augmentation for Video Relevance Prediction
Jianfeng Dong, Xun Wang, Leimin Zhang +3
Predicting the relevance between two given videos with respect to their visual content is a key component for content-based video recommendation and retrieval. Thanks to the increa…
iCap: Interactive Image Captioning with Predictive Text
Zhengxiong Jia, Xirong Li
In this paper we study a brand new topic of interactive image captioning with human in the loop. Different from automated image captioning where a given test image is the sole inpu…
Learn to Segment Retinal Lesions and Beyond
Qijie Wei, Xirong Li, Weihong Yu +8
Towards automated retinal screening, this paper makes an endeavor to simultaneously achieve pixel-level retinal lesion segmentation and image-level disease classification. Such a m…
Hierarchical Attention Networks for Medical Image Segmentation
Fei Ding, Gang Yang, Jinlu Liu +5
The medical image is characterized by the inter-class indistinction, high variability, and noise, where the recognition of pixels is challenging. Unlike previous self-attention bas…
Two-Stream CNN with Loose Pair Training for Multi-modal AMD Categorization
Weisen Wang, Zhiyan Xu, Weihong Yu +8
This paper studies automated categorization of age-related macular degeneration (AMD) given a multi-modal input, which consists of a color fundus image and an optical coherence tom…
Imagination Based Sample Construction for Zero-Shot Learning
Gang Yang, Jinlu Liu, Xirong Li
Zero-shot learning (ZSL) which aims to recognize unseen classes with no labeled training sample, efficiently tackles the problem of missing labeled data in image retrieval. Nowaday…
Dual Encoding for Zero-Example Video Retrieval
Jianfeng Dong, Xirong Li, Chaoxi Xu +4
This paper attacks the challenging problem of zero-example video retrieval. In such a retrieval paradigm, an end user searches for unlabeled videos by ad-hoc queries described in n…
Automatic Rumor Detection on Microblogs: A Survey
Juan Cao, Junbo Guo, Xirong Li +3
The ever-increasing amount of multimedia content on modern social media platforms are valuable in many applications. While the openness and convenience features of social media als…
COCO-CN for Cross-Lingual Image Tagging, Captioning and Retrieval
Xirong Li, Chaoxi Xu, Xiaoxu Wang +4
This paper contributes to cross-lingual image annotation and retrieval in terms of data and baseline methods. We propose COCO-CN, a novel dataset enriching MS-COCO with manually wr…
Predicting Visual Features from Text for Image and Video Caption Retrieval
Jianfeng Dong, Xirong Li, Cees G. M. Snoek
This paper strives to find amidst a set of sentences the one best describing the content of a given image or video. Different from existing works, which rely on a joint subspace fo…
Cross-Media Similarity Evaluation for Web Image Retrieval in the Wild
Jianfeng Dong, Xirong Li, Duanqing Xu
In order to retrieve unlabeled images by textual queries, cross-media similarity computation is a key ingredient. Although novel methods are continuously introduced, little has bee…