A5055816762- Radiomics and Machine Learning in Medical Imaging
- Sarcoma Diagnosis and Treatment
- Bone Tumor Diagnosis and Treatments
- Bladder and Urothelial Cancer Treatments
- AI in cancer detection
- Head and Neck Surgical Oncology
- Lung Cancer Diagnosis and Treatment
- Urinary and Genital Oncology Studies
- Colorectal Cancer Screening and Detection
- Gastrointestinal Tumor Research and Treatment
- Oral and Maxillofacial Pathology
- Catalytic C–H Functionalization Methods
- Medical Imaging and Pathology Studies
- Applied Advanced Technologies
- Concrete and Cement Materials Research
- Musculoskeletal pain and rehabilitation
- Cyclopropane Reaction Mechanisms
- Imbalanced Data Classification Techniques
- Sulfur-Based Synthesis Techniques
- Structural Health Monitoring Techniques
- Pulmonary Hypertension Research and Treatments
- Fluoride Effects and Removal
- Advanced Numerical Analysis Techniques
- Musculoskeletal synovial abnormalities and treatments
- Particle Detector Development and Performance
Guangdong Pharmaceutical University
2023-2025
Affiliated Hospital of Qingdao University
2018-2024
Qingdao University
2018-2024
Northeast Forestry University
2024
Yanshan University
2024
University of Science and Technology of China
2024
Beihang University
2010-2023
Zhengzhou University
2023
Shanghai Institute of Applied Physics
2023
Chinese Academy of Sciences
2023
Background Preoperative differentiation between malignant and benign soft‐tissue masses is important for treatment decisions. Purpose/Hypothesis To construct/validate a radiomics‐based machine method masses. Study Type Retrospective. Population In all, 206 cases. Field Strength/Sequence The T 1 sequence was acquired with the following range of parameters: relaxation time / echo (TR/TE), 352–550/2.75–19 msec. 2 TR/TE, 700–6370/40–120 data were divided into 3.0T training cohort, 1.5T MR...
Preoperative prediction of soft tissue sarcoma (STS) grade is important for treatment decisions. Therefore, formulation an STS model strongly needed.To develop and test magnetic resonance imaging (MRI)-based radiomics nomogram predicting the (low-grade vs. high grade).Retrospective POPULATION: One hundred eighty patients with confirmed by pathologic results at two independent institutions were enrolled (training set, N = 109; external validation 71).Unenhanced T1-weighted (T1WI)...
Abstract Background To construct and assess a computed tomography (CT)-based deep learning radiomics nomogram (DLRN) for predicting the pathological grade of bladder cancer (BCa) preoperatively. Methods We retrospectively enrolled 688 patients with BCa (469 in training cohort, 219 external test cohort) who underwent surgical resection. extracted handcrafted (HCR) features (DL) from three-phase CT images (including corticomedullary-phase [C-phase], nephrographic-phase [N-phase]...
Accurate stratification of recurrence risk for bladder cancer (BCa) is essential precise individualized therapy. This study aimed to develop and validate a model predicting the in BCa patients postoperatively using 3-phase enhanced CT images.We retrospectively enrolled 874 across four centers between January 2006 December 2021. Patients from one center were used as training set, while remaining went into validation set. We trained deep learning (DL) based on convolutional neural networks...
Pyridinium 1,4-zwitterionic thiolates were regarded as powerful and versatile building blocks to prepare nitrogen- sulfur-containing heterocycles. Herein, we reported a copper-catalyzed formal [4 + 1] annulation of pyridinium diazo compounds without any additives access library trifunctionalized indolizines in good yields. Besides, isoquinolinium imidazolium also applied this reaction. Of particular note is that various functional groups such -CO2R, -CO2NR2, -CF3, -CN, -(O)P(OR)2 could be...
In this study, a novel dynamic FMECA method based on Spherical Fuzzy Sets (SFSs) is proposed to address the limitations of traditional in reliability analysis CNC machine tools, particularly issue neglecting changes tools due service age. The integrates objective and subjective weighting by combining an SFS-based entropy with SFS-AHP, allowing for management expert fuzzy evaluations multi-perspective risk factors. WASPAS used generate rankings at expert-suggested time points (1,000 hours...
A three-component multi-auto-tandem reaction for the construction of site-specific tricyclic furo[3,2-c]coumarins via formation C-C, C-O, and C-S bonds in one step from 4-hydroxycoumarins/4-hydroxy-2-pyrones, ynals, sodium sulfinates is reported. This cascade efficiently produces a variety rare C-2-functionalized moderate to good yields under straightforward conditions. Furthermore, this protocol can be extended coupling involving 2-hydroxy-1,4-naphthoquinone, sulfinates, yielding...
Background Preoperative discrimination between malignant and benign sinonasal tumors is important for treatment plan selection. Purpose To build validate a radiomic nomogram preoperative tumors. Study Type Retrospective. Population In all, 197 patients with histopathologically confirmed 84 113 Field Strength/Sequences Fast‐spin‐echo (FSE) T 1 ‐weighted fat‐suppressed FSE 2 imaging on 1.5T 3.0T MRI. Assessment images were selected feature extraction. The least absolute shrinkage selection...
Abstract A trigger system has been designed and implemented for the external-target experiment (CEE), which is under construction at heavy ion facility in Lanzhou, cooling storage ring (HIRFL-CSR). The aims studying high-density nuclear matter properties with collisions GeV energy regime. adopts a master-slave structure serial data transmission mode using optical fiber to deal multi subdetectors long-distance signal flow. logic, based on field programmable gate array (FPGA) technologies, can...
An unprecedented five-component [2 + 2 1 1] benzannulation strategy for regioselective assembly of densely functionalized aromatic amines from two ynals, malononitriles, and sodium sulfinates is established. The protocol enables the efficient installation five substituents on a benzene ring via formation multiple chemical bonds in single operation, providing various multifunctionalized primary moderate to good yields. Additionally, three-component [3 cycloaddition NH4SCN was also achieved...
Soft tissue sarcoma is a rare and highly heterogeneous tumor in clinical practice. Pathological grading of the soft key factor patient prognosis treatment planning while data are imbalanced. In this paper, we propose an effective solution to find optimal imbalance machine learning model for predicting classification data.In large number features first obtained based on [Formula: see text]WI images using radiomics methods.Then, explore methods feature selection, sampling classification, get...
Background Sinonasal malignant tumors (SNMTs) have a high recurrence risk, which is responsible for the poor prognosis of patients. Assessing risk in SNMT patients current problem. Purpose To establish an MRI‐based radiomics nomogram assessing relapse with SNMT. Study Type Retrospective. Population A total 143 68.5% females (development/validation set, 98/45 patients). Field Strength/Sequence 1.5‐T and 3‐T, fat‐suppressed fast spin echo (FSE) T2‐weighted imaging (FS‐T2WI), FSE T1‐weighted...
To characterize and evaluate the MR imaging features of early myositis ossificans (MO) without calcification or ossification.The MRI manifestations seven patients with pathologically proven MO were retrospectively analyzed regard to tumor location, size, margins, signal intensity, enhancement appearance in images. Additionally, surrounding soft-tissue edema adjacent bone change assessed.All cases (n=7) had intramuscular tumor-like masses calcifications. The lesions appeared as isointense...
Abstract Objective To establish a model for predicting lymph node metastasis in bladder cancer (BCa) patients. Methods We retroactively enrolled 239 patients who underwent three-phase CT and resection BCa two centers (training set, n = 185; external test 54). reviewed the clinical characteristics features to identify significant predictors construct model. extracted hand-crafted radiomics deep learning of lesions. used Minimum Redundancy Maximum Relevance algorithm least absolute shrinkage...
Abstract Boosting anti-tumor immune responses can be achieved by activating the innate system. Despite ongoing development of numerous STING and TLR agonists for this purpose, none them have progressed to late-stage clinical evaluation. Alpha protein kinase-1 (ALPK1) is an intracellular receptor newly identified its ability detect ADP-heptose, a metabolite released during biosynthesis degradation lipopolysaccharides (LPS). Since heptose not naturally present in mammalian cells, recognition...
Abstract Background To explore the potential of different quantitative dynamic contrast-enhanced (qDCE)-MRI tracer kinetic (TK) models and qDCE parameters in discriminating benign from malignant soft tissue tumors (STTs). Methods This research included 92 patients (41females, 51 males; age range 16–86 years, mean 51.24 years) with STTs. The (K trans , K ep V e p F, PS, MTT E) for regions interest STTs were estimated by using following TK models: Tofts (TOFTS), Extended (EXTOFTS), adiabatic...
The tokamak, a potential candidate for realizing nuclear fusion energy on Earth, uses strong magnetic fields to confine hot ionized gas (plasma) in toroidal vacuum chamber. ability of tokamaks run high-performance modes operation demands advanced control capabilities regulate the spatial distribution (profile) several plasma properties such as safety factor q. A model predictive (MPC) approach has been followed further advance EAST tokamak. proposed controllers have capability simultaneously...
To retrospectively investigate computed tomographic (CT) quantitative analysis of ground-glass opacity (GGO) volume percentage and morphologic features resected lung adenocarcinomas according to epidermal growth factor receptor (EGFR) mutation status subtypes.Amplification refractory system was used detect mutations in the EGFR gene. Distribution demographics GGO were performed subtypes.EGFR significantly more frequent women (55.2% vs. 37.0%, p=0.001) never-smokers (59.5% 38.4%, p < 0.001)...
To investigate the efficacy of multi-parametric MRI-based radiomics nomograms for preoperative distinction between benign and malignant sinonasal tumors.Data 244 patients with tumor (training set, n=192; test n=52) who had undergone pre-contrast MRI, 101 underwent post-contrast MRI n=74; n=27) were retrospectively analyzed. Independent predictors malignancy identified their performance evaluated. Seven signatures (RSs) using maximum relevance minimum redundancy (mRMR), least absolute...
Objective . This study was performed to assess the value of quantitative analysis enhanced computed tomography (CT) values in differential diagnosis bladder cancer and cystitis glandularis (CG). Methods Eighty patients with masses (39 CG 41 cancer) who underwent CT were retrospectively reviewed. The enhancement lesion normal wall arterial phase, venous delayed phase measured. relative (<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mtext>relative</mml:mtext><mml:mtext>...
Abstract With the popularity of Internet and e-commerce, sentiment analysis text can help users to quickly accurately obtain effective information they are interested in from massive product reviews purchase satisfactory products. In this paper, a system for was designed based on deep learning, digital electronic products Jingdong Mall with at least 100,000 were crawled as training data set. After pre-processing operations such word segmentation removal stop words remove useless features,...