A5100403242- Radiomics and Machine Learning in Medical Imaging
- Advanced Neural Network Applications
- Medical Imaging Techniques and Applications
- Retinal Imaging and Analysis
- Corneal surgery and disorders
- Digital Imaging for Blood Diseases
- AI in cancer detection
- Medical Image Segmentation Techniques
- COVID-19 diagnosis using AI
- Image and Signal Denoising Methods
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Machine Learning and Data Classification
- Image Enhancement Techniques
- Cutaneous Melanoma Detection and Management
- Domain Adaptation and Few-Shot Learning
- Ophthalmology and Visual Impairment Studies
- Natural Language Processing Techniques
- Optical Imaging and Spectroscopy Techniques
- Glaucoma and retinal disorders
- Topic Modeling
- Colorectal Cancer Surgical Treatments
- Chronic Disease Management Strategies
- Underwater Acoustics Research
- Human Pose and Action Recognition
Third Hospital of Hebei Medical University
2024
Hebei Medical University
2024
Harbin Engineering University
2015-2024
Affiliated Hospital of Hangzhou Normal University
2024
University of Shanghai for Science and Technology
2024
Xi'an University of Technology
2022-2024
Shanghai Public Health Clinical Center
2022-2024
Shijiazhuang Yiling Pharmaceutical (China)
2024
China United Network Communications Group (China)
2024
Robert Bosch (China)
2024
Abstract Background Sepsis is a significant cause of mortality in-hospital, especially in ICU patients. Early prediction sepsis essential, as prompt and appropriate treatment can improve survival outcomes. Machine learning methods are flexible algorithms with potential advantages over conventional regression scoring system. The aims this study were to develop machine approach using XGboost predict the 30-days for MIMIC-III Patients sepsis-3 determine whether such model performs better than...
Derivation of CD7-targeted chimeric antigen receptor (7CAR) T cells often requires genetic manipulations to ablate the CD7 gene or block cell surface expression. Our novel approach deriving naturally selected 7CAR-T (NS7CAR) from bulk were able overcome major fratricide by minimizing accessible epitopes. The molecules NS7CAR-T masked sequestered CD7-targeting CAR. Compared sorted CD7-negative and knocked-out cells, NS7CAR exhibited similar superior therapeutic properties including a greater...
Deep neural networks are known to be data-driven and label noise can have a marked impact on model performance. Recent studies shown great robustness classic image recognition even under high noisy rate. In medical applications, learning from datasets with is more challenging since imaging tend instance-dependent (IDN) suffer observer variability. this paper, we systematically discuss the two common types of in images - disagreement inconsistency expert opinions single-target biased...
We investigated the incidence, perioperative risk factors, and outcomes of postoperative acute kidney injury (AKI) in neurosurgical critically ill patients. A prospective multicenter cohort study was conducted, enrolling adult patients who underwent procedure admitted to intensive care units (ICU). Postoperative AKI diagnosed within 7 days after surgery based on Kidney Disease Improving Global Outcomes criteria. Of 624 enrolled patients, occurred 84 associated with increased rates ICU...
To predict the vault and EVO-implantable collamer lens (ICL) size by artificial intelligence (AI) big data analytics.Six thousand two hundred ninety-seven eyes implanted with an ICL from 3536 patients were included. The values measured anterior segment analyzer (Pentacam HR). Permutation importance Impurity-based feature are used to investigate between input parameters. Regression models classification applied vault. is set as target of prediction, other features new inputs for prediction....
Segment Anything Model (SAM) has revolutionized the way of segmentation due to its remarkable capacity for generalized segmentation. However, SAM's performance may decline when applied tasks involving domains that differ from natural images. Nonetheless, by employing fine-tuning techniques, SAM exhibits promising capabilities in specific domains, such as medicine and planetary science. Notably, there is a lack research on application sonar imaging. In this paper, we aim address gap...
Thyroid-associated ophthalmopathy (TAO) is one of the most common orbital diseases that seriously threatens visual function and significantly affects patients' appearances, rendering them unable to work. This study established an intelligent diagnostic system for TAO based on facial images.Patient images data were obtained from medical records patients with who visited Shanghai Changzheng Hospital 2013 2018. Eyelid retraction, ocular dyskinesia, conjunctival congestion, other signs noted...
The intrinsic noise of synthetic aperture radar (SAR) images has a big influence to the image processing performance, especially in change detection (CD). Image denoising is an important branch restoration which aims at enhancing quality images. accuracy CD depends greatly on red difference (DI), therefore can be regarded as vital step SAR CD. However, few researches focused this problem. In study, end‐to‐end deep model first designed remove With help abundant simulated images, trained...
The rapid development of networks has resulted in the recognition blended learning as an effective model. text mining method was used to analyze practice data 17 countries provided by Christensen Institute. By classifying and extracting information from use model selection challenges learning, factors that hinder implementation were analyzed. distribution courses models each country discussed, influence relationship between region results demonstrate primary secondary schools is mature four...
The aim of this study was to compare the functional optical zone (FOZ) after correction high myopic astigmatism and low by small-incision lenticule extraction (SMILE). In prospective study, 30 patients who received SMILE for (cylinderical diopters ≤ − 2.0D) were enrolled in group (HA). control comprised 40 underwent (LA; cylinderical ≥ 0.5D). FOZ delineated as area outlined a change 0.5D relative power at corneal vertex on total refractive map. An ellipse-fitting program (MatLab) used...
Generalizing a deep learning model to new domains is crucial for computer-aided medical diagnosis systems. Most existing unsupervised domain adaptation methods have made significant progress in reducing the distribution gap through adversarial training. However, these may still produce overconfident but erroneous results on unseen target images. This paper proposes framework cross-modality image segmentation. Specifically, We first introduce two data augmentation approaches generate sets of...
The SHA-256 is playing an important role in various applications, such as e-transactions and bitcoins. To achieve more profits, the computation capacity a main research direction of Hashing Algorithm. In this paper, high-performance hardware architecture hash proposed. rescheduled based on characterises. Three pipelines are used to replace critical path round functions which can shorten long path, divide chain into independent parts. Multi-computation working parallel pipelines, indicating...
To assess the repeatability of epithelial, stromal, and total corneal thickness measurements with spectral-domain optical coherence tomography (SD-OCT; RTVue-XR; Optovue, Inc., Fremont, CA) in patients myopia, keratoconus, corneas after transepithelial photorefractive keratectomy (PRK), small incision lenticule extraction (SMILE), femtosecond laser-assisted situ keratomileusis (FS-LASIK).A 352 eyes (75 myopic, 68 post-transepithelial PRK, 61 post-SMILE, 75 post-FS-LASIK, 20 mild 53 advanced...
The combination of positron emission tomography (PET) and CT images provides complementary functional anatomical information human tissues it has been used for better tumor volume definition lung cancer. This paper proposed a robust method automatic segmentation on PET/CT images. new is based fuzzy Markov random field (MRF) model. PET image achieved by using proper joint posterior probability distribution observed features in the MRF model which performs than commonly Gaussian distribution....
A method based on sparse denoising autoencoder for hybrid noises in image is proposed this paper. The experimented natural images and the performance evaluated terms of peak signal to noise ratio (PSNR). By specifically designing training process autoencoder, our model not only achieves good single kind noises, but also relatively robust mixed which are more widely existed practical situation. Autoencoder a major branch deep learning. It has been used many applications as exact features its...
Objective: Serum cystatin C (sCysC) used clinically for detecting early acute kidney injury (AKI) was reported to be independently associated with hemoglobin (HbA1c) levels, diabetes, and prediabetes. We aimed assess the influence of HbA1c or prediabetes on performance sCysC AKI detection in critically ill adults.Methods: A prospective observational study conducted a mixed medical-surgical intensive care unit (ICU). Patients were divided into four quartiles based levels serum glucose at ICU...
Purpose To accurately assess disease progression after Stereotactic Ablative Radiotherapy (SABR) of early-stage Non-Small Cell Lung Cancer (NSCLC), a combined predictive model based on pre-treatment CT radiomics features and clinical factors was established. Methods This study retrospectively analyzed the data 96 patients with NSCLC treated SABR. Clinical included general information (e.g. gender, age, KPS, Charlson score, lung function, smoking status), lesion status diameter, location,...
To evaluate the short-term safety and efficacy of EVO implantable collamer lens (ICL) using a customized implanting orientation design based on ultrasound biomicroscope (UBM) measurement.The prospective case series included 310 eyes 158 patients treated with ICL. achieve an optimal vault, ICL specific size was chosen implanted in according to assessment sulcus-to-sulcus (STS) diameters, distance between STS plane crystalline (STSL), morphology ciliary sulcus (MCS), anterior chamber depth...
Abstract Background Multimorbidity is better prevented in younger ages than older ages. This study aims to identify the differences comorbidity patterns middle-aged inpatients from China and United Kingdom (UK). Methods We utilized 184,133 180,497 baseline hospitalization records populations (40–59 years) Shaanxi, China, UK Biobank. Logistic regression was used calculate odds ratios P values for 43,110 unique Chinese 21,026 inpatients. included statistically significant ( adjusted by...