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Article
Open AccessCryo-EM structure of severe fever with thrombocytopenia syndrome virus
The severe fever with thrombocytopenia syndrome virus (SFTSV) is a tick-borne human-infecting bunyavirus, which utilizes two envelope glycoproteins, Gn and Gc, to enter host cells. However, the structure and o...
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Article
Correction to: Characterization of the microbial community and prediction of metabolic functions in an anaerobic/oxic system with magnetic micropolystyrene as a biocarrier
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Article
Characterization of the microbial community and prediction of metabolic functions in an anaerobic/oxic system with magnetic micropolystyrene as a biocarrier
Polystyrene (PS) and magnetic polystyrene (MPS) materials have been used extensively in wastewater treatment. In this research, a 55-day anaerobic/oxic process was carried out to evaluate the effects of PS and...
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Article
Enhanced bio-affinity of magnetic QD-P(St-GMA)@Fe3O4 micro-particles via surface-quaternized modification
In this work, a kind of bio-carrier quaternized-polystyrene-polyglycidyl methacrylate@Fe3O4 (QD-P(St-GMA)@Fe3O4, QD-PSGF) micro-particles was successfully prepared by modifying PSGF micro-particles through a hydr...
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Article
Why does batch normalization induce the model vulnerability on adversarial images?
Batch normalization is one of the most widely used components in deep neural networks. It can accelerate training, and boost model performance on normal samples. However, batch normalization induces vulnerabil...
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Chapter and Conference Paper
Co-assistant Networks for Label Correction
The presence of corrupted labels is a common problem in the medical image datasets due to the difficulty of annotation. Meanwhile, corrupted labels might significantly deteriorate the performance of deep neura...
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Chapter and Conference Paper
Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision
Accurate segmentation and analysis of membranes from immunohistochemical (IHC) images are crucial for cancer diagnosis and prognosis. Although several fully-supervised deep learning methods for membrane segmen...
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Article
Open AccessTraditional Chinese medicine based on Tongjiang methodology combined with proton pump inhibitor (PPI) step-down in treating non-erosive reflux disease: a study protocol for a multicentered, randomized controlled clinical trial
Non-erosive reflux disease (NERD) is characterized by typical gastroesophageal reflux symptoms, such as heartburn and regurgitation but an absence of esophageal mucosal damage during upper gastrointestinal end...
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Chapter and Conference Paper
Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer’s Disease Diagnosis
In this paper, we propose a dual-graph learning convolutional network (dGLCN) to achieve interpretable Alzheimer’s disease (AD) diagnosis, by jointly investigating subject graph learning and feature graph lear...
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Article
Anchor-Based Self-Ensembling for Semi-Supervised Deep Pairwise Hashing
Deep hashing has attracted considerable attention to tackle large-scale retrieval tasks, because of automatic and powerful feature extraction of convolutional neural networks and the gain of hashing in computa...
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Chapter and Conference Paper
A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets
Recently, object detection frameworks based on Convolutional Neural Networks (CNNs) have become powerful methods for various tasks of medical image analysis; however, they often struggle with most pathological...
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Article
Open AccessInvestigating Various Factors Affecting the Long-Term Compressive Strength of Heat-Cured Fly Ash Geopolymer Concrete and the Use of Orthogonal Experimental Design Method
This work quantified the hierarchy of the influence of three common mixture design parameters on the compressive strength and the rate of strength increase over the long term of low-calcium fly ash geopolymer ...
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Article
Open AccessCorrection to: Towards pixel-to-pixel deep nucleus detection in microscopy images
Following publication of the original article [1], we have been notified of a few errors in the html version:
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Article
Open AccessTowards pixel-to-pixel deep nucleus detection in microscopy images
Nucleus or cell detection is a fundamental task in microscopy image analysis and supports many other quantitative studies such as object counting, segmentation, tracking, etc. Deep neural networks are emerging...
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Article
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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Article
Publisher Correction: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
An amendment to this paper has been published and can be accessed via a link at the top of the paper
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Article
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
Diagnostic pathology is the foundation and gold standard for identifying carcinomas. However, high inter-observer variability substantially affects productivity in routine pathology and is especially ubiquitou...
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Article
Open AccessCombination of 15 lipid metabolites and motilin to diagnose spleen-deficiency FD
This study aims to assess clinical characteristics in FD with spleen deficiency syndrome and metabolic perturbations involved in FD progress. We combined metabolic biomarkers and clinical features into a bette...
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Chapter and Conference Paper
Local and Global Consistency Regularized Mean Teacher for Semi-supervised Nuclei Classification
Nucleus classification is a fundamental task in pathology diagnosis for cancers, e.g., Ki-67 index estimation. Supervised deep learning methods have achieved promising classification accuracy. However, the succes...
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Chapter
Deep Hashing and Its Application for Histopathology Image Analysis
Content-based image retrieval (CBIR) has attracted considerable for histopathology image because it can provide more clinical evidence to support the diagnosis. Hashing is an important tool in CBIR due to...
