H
Hongxiu Jiang
Researcher at University of Electronic Science and Technology of China
Publications - 7
Citations - 102
Hongxiu Jiang is an academic researcher from University of Electronic Science and Technology of China. The author has contributed to research in topics: Convolutional neural network & Robustness (computer science). The author has an hindex of 3, co-authored 7 publications receiving 43 citations.
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Journal ArticleDOI
Review on the Applications of Deep Learning in the Analysis of Gastrointestinal Endoscopy Images
TL;DR: This review summarized and compared the latest published literature related to the common clinical GI diseases and covers the key applications of DL in GI image detection, classification, segmentation, recognition, location, and other tasks.
Book ChapterDOI
Multi-label Classification of Abnormalities in 12-Lead ECG Using 1D CNN and LSTM
TL;DR: This study proposed a method based on Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) to classify 12-lead ECG into 9 categories, and suggested a new strategy to compute the Dice loss for multi-label classification.
Journal ArticleDOI
An improved Poincaré plot-based method to detect atrial fibrillation from short single-lead ECG
TL;DR: The detection performance of the proposed Poincare plot-based method for AF detection is good under different condition, and has the advantage of easy implementation, which makes it promising for application in the detection and monitoring of AF.
Journal ArticleDOI
Depth Information-Based Automatic Annotation of Early Esophageal Cancers in Gastroscopic Images Using Deep Learning Techniques
TL;DR: A novel method that utilized deep learning techniques to realize the automatic annotation of early esophageal cancer (EEC) lesions in gastroscopic images showed better annotation performances and fewer false positive outputs and offers a good prospect in aiding the clinical diagnoses of EEC.
Journal ArticleDOI
Annotating Early Esophageal Cancers Based on Two Saliency Levels of Gastroscopic Images
Dingyun Liu,Nini Rao,Xinming Mei,Hongxiu Jiang,Quanchi Li,Chengsi Luo,Qian Li,Chengshi Zeng,Bing Zeng,Tao Gan +9 more
TL;DR: Li et al. as discussed by the authors developed a two saliency levels-based lesion annotation (TSL-BLA) for EEC annotations on gastroscopic images, which placed an additional emphasis on the annotation of small EEC lesions.