A5100403556- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Image and Video Quality Assessment
- Advanced Steganography and Watermarking Techniques
- Ferroptosis and cancer prognosis
- Image Enhancement Techniques
- Bioinformatics and Genomic Networks
- Advanced Image Processing Techniques
- Chaos-based Image/Signal Encryption
- Face and Expression Recognition
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Digital Media Forensic Detection
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Cancer-related molecular mechanisms research
- Advanced Image Fusion Techniques
- Cancer, Lipids, and Metabolism
- Topic Modeling
- Gene expression and cancer classification
- Image and Signal Denoising Methods
- RNA modifications and cancer
- Machine Learning in Healthcare
- Machine Learning in Bioinformatics
- Image and Video Stabilization
Central South University
2018-2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2022-2025
Haikou City People's Hospital
2025
University of Bristol
2020-2025
Longgang Central Hospital
2025
Union Hospital
2024
Huazhong University of Science and Technology
2024
Henan University
2015-2024
Shanxi Agricultural University
2024
Wuhan University of Science and Technology
2024
Parallax handling is a challenging task for image stitching. This paper presents local stitching method to handle parallax based on the observation that input images do not need be perfectly aligned over whole overlapping region Instead, they only in way there exists where can seamlessly blended together. We adopt hybrid alignment model combines homography and content-preserving warping provide flexibility avoiding objectionable distortion. then develop an efficient randomized algorithm...
Molybdenum disulfide bilayers with well-defined interlayer twist angle were constructed by stacking single-crystal monolayers. Varying results in strong tuning of the indirect optical transition energy and second-harmonic generation weak direct energies Raman mode frequencies. Electronic structure calculations show separation changes due to repulsion between sulfur atoms, resulting shifts energies. These that alignment is a crucial variable tailoring properties two-dimensional heterostructures.
Although semi-supervised learning has made significant advances in the field of medical image segmentation, fully annotating a volumetric sample slice by remains costly and time-consuming task. Even worse, most existing approaches pay much attention to image-level information ignore semantic features, resulting inability perceive weak boundaries. To address these issues, we propose novel Semantic-Guided Triplet Co-training (SGTC) framework, which achieves high-end segmentation only three...
In this paper, a novel reduced-reference (RR) image quality assessment (IQA) is proposed by statistical modeling of the discrete cosine transform (DCT) coefficient distributions. order to reduce RR data rates and further exploit identical nature distributions between adjacent DCT subbands, coefficients are reorganized into three-level tree. Subsequently, generalized Gaussian density (GGD) employed model distribution each subband. The city-block distance measure difference two images....
Abstract This study explores a student-centered teaching method in postgraduate courses. Teacher-centered classroom cannot fully stimulate learning initiative and enthusiasm of students. Student-centered means that students actively learn construct knowledge by participating activities. presents online–offline hybrid method, which adopts case-based case discussion the courses computer science. The latest engineering cases are integrated into library is constructed. Taking digital image...
Colorectal cancer (CRC) is one of the most prevailing and lethal forms globally. α‑enolase (ENO1) has been well documented to be involved in progression drug resistance CRC. The present study was designed specify role ENO1 major events during process CRC introduce its latent functional mechanism. expression determined by western blot analysis. Extracellular acidification rates were assessed using an XF96 extracellular flux analyzer. Glucose uptake, lactic acid production, total iron levels...
In the last decade, ferroptosis has received much attention from scientific research community. It differs other modes of cell death at morphological, biochemical, and genetic levels. Ferroptosis is mainly characterized by non-apoptotic iron-dependent caused lipid peroxide excess accompanied abnormal iron metabolism oxidative stress. recent years, more studies have shown that closely related to occurrence development lung diseases. COPD, asthma, injury, fibrosis, cancer, infection...
Most of classification, quality evaluation or grading the flue-cured tobacco leaves are manually operated, which relies on judgmental experience experts, and inevitably limited by personal, physical environmental factors. The classification therefore subjective experientially based. In this paper, an automatic method based digital image processing fuzzy sets theory is presented. A system techniques was developed for automatically inspecting leaves. This uses machine vision extraction...
Difficult airway conditions represent a substantial challenge for clinicians. Predicting such is essential subsequent treatment planning, but the reported diagnostic accuracies are still quite low. To overcome these challenges, we developed rapid, non-invasive, cost-effective, and highly-accurate deep-learning approach to identify difficult through photographic image analysis.For each of 1000 patients scheduled elective surgery under general anesthesia, images were captured from 9 specific...
Sustained myocardial injury due to hypertension and diabetes mellitus leads production of endogenous reactive oxygen species (ROS) insufficient antioxidant capacity, increasing the risk cardiomyocyte ferroptosis. Ferroptosis is a nonapoptotic form cell death driven by unrestricted lipid peroxidation. Dysfunction glutathione peroxidase 4 (GPX4) system also plays an important role in Cardiomyocyte ferroptosis ultimately deterioration, such as inflammation, fibrosis, cardiac remodeling,...
Background Identifying genes with essential roles in resisting environmental stress rates high agronomic importance. Although massive DNA microarray gene expression data have been generated for plants, current computational approaches underutilize these studying genotype-trait relationships. Some advanced identification methods explored human diseases, but typically not converted into publicly available software tools and cannot be applied to plants identifying traits. Methodology In this...
Essential proteins are distinctly important for an organism's survival and development crucial to disease analysis drug design as well. Large-scale protein-protein interaction (PPI) data sets exist in Saccharomyces cerevisiae, which provides us with a valuable opportunity predict identify essential from PPI networks. Many network topology-based computational methods have been designed detect proteins. However, these limited by the completeness of available data. To break out restraints, some...
Colon cancer is the third most common in world with a high mortality rate. At present, surgery combined radiotherapy and chemotherapy primary treatment, but patient prognosis remains poor. Traditional Chinese medicine (TCM) has become complementary alternative source of anti-cancer drugs. Camellia nitidissima Chi (CNC) TCM used to treat variety cancers. However, role CNC elusive, its effect mechanism on colon have not been reported. Here, we show that exerts an excellent inhibitory...
Low-dose computed tomography (CT) will increase noise and artefacts while reducing the radiation dose, which adversely affect diagnosis of radiologists. CT image denoising is a challenging task. There are essential differences between traditional methods deep learning-based methods. This paper discusses approaches low-dose via learning. Deep have achieved relatively ideal effects in both subjective visual quality quantitative objective metrics. focuses on three state-of-the-art methods,...
Current therapies towards ischemic stroke (IS) are still not satisfied, and alternative strategies targeting ferroptosis may be another choice. The purpose of this study is to screen potential ferroptosis-related genes involving in IS.A rat model IS was established via middle cerebral artery occlusion. Differentially expressed (DEGs) were screened from the rats through transcriptional sequencing. Among isolated DEGs, expression several attractive DEGs relating with injury confirmed by...