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Sublingual Microcirculation Imaging with Novel Optically-parallel Probe and Accurate Microcirculation Vessel Segmentation
Assessment of the perfusion state for capillaries provides important guidances in diagnosis and treatment of critically ill patients. A high-quality capture of video and image, convenient and effective analysis of vessels are the foundation of ...
Three-Dimensional Reconstruction and Hemodynamic Analysis of Varicose Veins in Lower Extremities Based on ABUS Image
Varicose veins in the lower extremities are enlarged and tortuous veins in the lower extremities and are a common surgical condition, affecting people over a wide age range. Venous tortuosity caused by varicose veins in lower extremities would alter the ...
An autofocus algorithm for microscopic hyperspectral imaging system with adaptive wavelength variation
Microscopic hyperspectral imaging techniques have been widely used to analyze information from digital pathology sections. Real-time autofocusing is one of the important techniques to acquire high-quality images efficiently; however, there are few ...
Accurate brain extraction on MRI using U-Net trained in two stages
Brain extraction is an essential processing step for most brain magnetic resonance imaging (MRI) studies. Due to the inaccuracy of available labels in training dataset, existing methods based on U-Net can only obtain rough brains. In this paper, we ...
Evaluation model and efficacy of multimodal ultrasound imaging technology to predict the efficacy of neoadjuvant chemotherapy in breast cancer
Objective: To investigate the value of multimodal ultrasound imaging indicators in evaluating the efficacy of neoadjuvant chemotherapy for breast cancer, and to establish a multivariate Logistic regression model for evaluating neoadjuvant chemotherapy ...
Time-Dependent Changes of Automated 3D Breast Ultrasound-Visible Mesh Implants in Patients
The shrinkage and deformation of the mesh can be the causes of hernia recurrence and other related complications. Accurate visualization of the mesh and its position would greatly aid in assessing mesh shrinkage, evaluating the risk of hernia recurrence,...
Intelligent classification of B-line and white lung from COVID-19 pneumonia ultrasound images using radiomics analysis
- Yucheng Cao,
- Xiaoqian Duan,
- Si'ze Hou,
- Wenyu Xing,
- Minglei Yang,
- Yebo Ma,
- Zhuoran Wang,
- Wenfang Li,
- Qingli Li,
- Chao He,
- Jiangang Chen
As two important features of COVID-19 pneumonia ultrasound, the B-line and white lung are easily confused in clinics. To classify the two features, a radiomics analysis technology was developed on a set of ultrasound images collected from patients with ...
Deep-StRIP: Deep Learning Approach for Structural Repeat Identification in Proteins
Internal repetitions in eukaryotic proteins are three times more prevalent than in prokaryotic proteins, implying that the organism may benefit from them. Internal repeats have been found in eukaryotic functions such as connective tissue proteins, ...
Salmon-Easy: An alignment-free RNA-seq quantitative strategy based on partial genome indexing
In recent years, transcriptome sequencing has been widely used in biological gene expression analysis, mutation analysis and many other aspects. The current second-generation high-throughput RNA sequencing raw data analysis methods have disadvantages ...
Heritability, genetic variation, and the number of risk SNPs effect on deep learning and polygenic risk scores AUC
For genotype-phenotype classification, many methods are used, like polygenic risk scores and deep learning, each using a different computation technique. The performance of each method varies depending on the genetic variation and is measured by ...
GAN-PCL: An Efficient Protein Subchloroplast Site Predictor with GAN-based Data Augmented and Feature Fusion
Chloroplasts are important for photosynthesis, and proteins are distributed in different chloroplast regions to perform different functions. Although many computational methods for protein subchloroplast localization have proposed, prediction accuracy ...
Quill: A Memory Efficient k-mer Counting and k-mer Querying Tool for Commodity Clusters
K-mer counting is a widely used fundamental bioinformatics process. With next generation sequencing and other advances in sequencing techniques, newly generated large sequence datasets demand efficient k-mer counting techniques that are capable of ...
Effects of FLVCR1 on Proliferation and Migration of Hepatocellular Carcinoma Cells
Studies have found that feline leukemia virus subgroup C receptor 1 (FLVCR1) is dysregulated in a variety of tumor tissues. However, with rare studies on FLVCR1 in hepatocellular carcinoma (HCC), the mechanism underneath is still unclear. In this study, ...
Pan-cancer analysis of CDCA2 and its function in papillary renal cell carcinoma
Papillary renal cell carcinoma (PRCC) is the second most common type of Renal cell carcinoma (RCC) with insidious early symptoms and low clinical detection rate. Studies have reported that higher CDCA2 expression levels are associated with several ...
Molecular Identification and Characterization of Vitamin D Receptor in Grass Carp (Ctenopharyngodon idella)
In the present study, two vitamin D receptor (VDR) sequences were obtained in grass carp and named them as gcVDRa and gcVDRb, respectively. The gcVDRa consisted of 1359 base pairs and encoded 452 amino acids with two conserved domains (Ligan binding ...
Identification of Subtype-specific miRNAs of Muscular Dystrophy
Muscular dystrophy (MD) is a group of muscle diseases that results in increasing weakening and breakdown of skeletal muscles. There are numerous MD subtypes, but a subtype-specific diagnosis and treatment is not yet provided due to the genetic ...
ncRNA-Protein Interaction Prediction using Convolutional Architecture with Cross-correlation Information
Most non-coding RNAs interacting with corresponding RNA-binding proteins are important for the post-transcriptional gene regulation and other biological processes. The identification of RNA-protein interactions (RPIs) is carried out through biological ...
Effect of PSPH on Angiogenesis and Migration of Hepatocellular Carcinoma Cells
PSPH expression is imbalanced in many organs and tissues, with high level in liver. To investigate the effect of PSPH on angiogenesis and migration of hepatocellular carcinoma (HCC) and its potential mechanism, mRNA and protein expression of PSPH in ...
Developing A Multi-task Edge-attention based Graph Deep Learning Algorithm for Kinase Polypharmacology Profiling
The kinome-wide virtual profiling of molecules with structure data is a challenging task in drug discovery. Here, we present a virtual predicting model against a group of 118 kinases based on large-scale bioactivity data and the multitask graph deep ...
Based on Network Pharmacology and Molecular Docking for Research the Hedyotis Diffusa Mechanism on Breast Cancer
Background. As a standard Chinese drugs, Hedyotis diffusa(HD) has been employed in the clinical treatment of breast cancer(BC). supported GEO database, this study determined the possible mechanism of HD against BC through network pharmacology and ...
Epileptic Seizure Prediction Using Effective Brain Network and SVM on EEG
Epilepsy is a brain dysfunction syndrome caused by repeated sudden over discharge of brain neurons, and it has certain research value to predict epileptic seizures from the aspects of directed brain network characteristics. In this paper, the directed ...
A Method for Yeast Promoter Strength Prediction Based on a Branched CNN Feature Extractor
Promoters with desired strengths are of great importance in metabolic engineering and synthetic biology applications. However, experimental identification of them through the existing mutagenesis-based methods is time-consuming and laborious. With the ...
A Biochemiluminescent Assay for Rapid Diagnosis of Avian Influenza Virus
Background: Avian influenza virus (AIV) is highly bird contagious viral disease. A rapid and reliable diagnostic assay is crucial for surveillance. Objectives: A biochemiluminescent assay for rapid diagnosis of AIV based on the detection of the viral ...
Modifying Mesh Fixation Tack Design to Improve Device Mechanical Performance and Promote Tension-Free Repair
A modified "strap" structure fixation tack is tested comparatively against commercially available traditional "strap" structural fixation tack and solid s crew fixation tack. By the porcine abdominal muscle tissue model, the fixation strength is ...
Study on Measurement Parameters of sEMG based on Frequency Domain
This paper studies the measurement parameters of surface electromyography(sEMG) in frequency domain, introduces the calculation method of median frequency, average power frequency, peak frequency, power spectrum ratio and third spectral moment in ...
Analysis of the Correlation between Immunogenomic Phenotype and Patient Outcomes in Prostate Cancer
Although early-stage prostate cancer remains a good response to standard therapies, there are few treatment options for advanced stages or recurrent prostate cancer. Immunotherapy is currently the standard treatment for many types of cancers. However, ...
Does the Fixation Device Affect the Fixation Strength of the Tack in Laparoscopic Incisional Hernia Repair?
Background: In laparoscopic ventral hernia repair (LVHR), the fixation strength of the tack plays a crucial role, but there is a lack of clarity in terms of the role of the fixation devices on the tack. Our purpose was to investigate whether fixation ...