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Article
LNAS: a clinically applicable deep-learning system for mediastinal enlarged lymph nodes segmentation and station map** without regard to the pathogenesis using unenhanced CT images
The accurate identification and evaluation of lymph nodes by CT images is of great significance for disease diagnosis, treatment, and prognosis.
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Chapter and Conference Paper
Enhancing Cell Detection in Histopathology Images: A ViT-Based U-Net Approach
Cell detection in histology images is a pivotal and fundamental task within the field of computational pathology. Recent advancements have led to the introduction of the OCELOT dataset, which offers annotated ...
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Chapter and Conference Paper
Ceramic Tile Production Intelligent Decision Research Based on Reinforcement Learning Algorithm
Ceramic tile production includes a complex decision system, which involves several intelligent decision acts and might affect the product quality. In general, traditional ceramic tile production utilized many ...
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Article
Open AccessCorrection: Long noncoding RNA PVT1 promotes breast cancer proliferation and metastasis by binding miR-128-3p and UPF1
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Article
Poly(2-oxazoline)s: synthesis and biomedical applications
With the advancement of medical technology, the previous biomedical material platforms have been unable to meet the increasingly diverse application requirements, and the emergence of poly(2-oxazoline)s provid...
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Article
Co-electrodeposition of Ni-La coating on Ni foam for electrocatalytic hydrogen evolution reaction
Electrocatalytic water splitting to produce hydrogen is a promising route to provide green hydrogen on a large scale. To explore non-noble metal electrocatalysts with high performance is still a challenge. Her...
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Chapter and Conference Paper
Electron Microscopy Image Registration with Transformers
We propose a new encoder-decoder framework based on transformer for electron microscopy (EM) image registration. Current image registration methods mostly require long running time and complicated parameter tu...
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Chapter and Conference Paper
Structure-Decoupled Adaptive Part Alignment Network for Domain Adaptive Mitochondria Segmentation
Existing methods for unsupervised domain adaptive mitochondria segmentation perform feature alignment via adversarial learning, and achieve promising performance. However, these methods neglect the differences...
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Chapter and Conference Paper
The Tenth Visual Object Tracking VOT2022 Challenge Results
The Visual Object Tracking challenge VOT2022 is the tenth annual tracker benchmarking activity organized by the VOT initiative. Results of 93 entries are presented; many are state-of-the-art trackers published...
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Article
Defects inducing anomalous exciton kinetics in monolayer WS2
Two-dimensional (2D) transition metal dichalcogenide (TMD) has emerged as an effective optoelectronics material due to its novel optical properties. Understanding the role of defects in exciton kinetics is cru...
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Chapter and Conference Paper
Adaptive Agent Transformer for Few-Shot Segmentation
Few-shot segmentation (FSS) aims to segment objects in a given query image with only a few labelled support images. The limited support information makes it an extremely challenging task. Most previous best-pe...
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Chapter and Conference Paper
Cross-Modality Transformer for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification (VI-ReID) is a challenging task due to the large cross-modality discrepancies and intra-class variations. Existing works mainly focus on learning modality-shared repre...
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Article
Open AccessLong noncoding RNA PVT1 promotes breast cancer proliferation and metastasis by binding miR-128-3p and UPF1
Mounting evidence supports that long noncoding RNAs (lncRNAs) have critical roles during cancer initiation and progression. In this study, we report that the plasmacytoma variant translocation 1 (PVT1) lncRNA ...
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Article
Copper immobilized on biomimetic assembled calcium carbonate/carboxymethylcellulose hybrid: a highly active recoverable catalyst for CuAAC reactions
A novel copper immobilized on biomimetic assembled carboxymethylcellulose/calcium carbonate hybrid (CuII@CMC/CaCO3) as an efficient heterogeneous catalyst for the synthesis of 1,2,3-triazoles has been described h...
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Article
Clinical Manifestation and Laboratory Characteristics of SARS-CoV-2 Infection in Pregnant Women
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic has become a major challenge to public health in China and other countries, considering its pathogenicity across all age groups. Pregna...
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Article
Breeding of cabbage lines resistant to both head splitting and fusarium wilt via an isolated microspore culture system and marker-assisted selection
Develo** new cabbage varieties resistant to head splitting and cabbage fusarium wilt (CFW) has become a high priority in breeding programs. To rapidly obtain resistant inbred lines, 230 doubled haploid (DH) ...
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Chapter and Conference Paper
The Sixth Visual Object Tracking VOT2018 Challenge Results
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...
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Article
Multi-modal max-margin supervised topic model for social event analysis
In this paper, we proposed a novel multi-modal max-margin supervised topic model (MMSTM) for social event analysis by jointly learning the representation together with the classifier in a unified framework. Co...
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Article
Ce(III) immobilized on aminated poly(vinyl chloride): high-performance synergistic bifunctional acid–base catalyst for one-pot synthesis of 1,4-dihydropyrano[2,3-c]pyrazoles
A bifunctional acid–base catalyst of CeIII immobilized on ethylenediamine (EDA)-grafted poly(vinyl chloride) (PVC) has been prepared by a simple approach. First, PVC was treated with EDA to afford aminated poly(v...
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Chapter and Conference Paper
Video Highlight Detection via Deep Ranking Modeling
The video highlight detection task is to localize key elements (moments of user’s major or special interest) in a video. Most of existing highlight detection approaches extract features from the video segment ...
