A5100459709- Spectroscopy and Chemometric Analyses
- Spectroscopy Techniques in Biomedical and Chemical Research
- AI in cancer detection
- Speech and Audio Processing
- Mathematical Dynamics and Fractals
- Direction-of-Arrival Estimation Techniques
- Cellular Automata and Applications
- Advanced Chemical Sensor Technologies
- Age of Information Optimization
- graph theory and CDMA systems
- Coding theory and cryptography
- Identification and Quantification in Food
- Cooperative Communication and Network Coding
- Digital Media and Visual Art
- E-commerce and Technology Innovations
- Advanced MIMO Systems Optimization
- Brain Tumor Detection and Classification
- Infrared Thermography in Medicine
- Image Processing Techniques and Applications
- Geometric and Algebraic Topology
- Radiomics and Machine Learning in Medical Imaging
- Molecular Biology Techniques and Applications
- Thermography and Photoacoustic Techniques
- Image and Video Quality Assessment
- Advanced Mathematical Theories and Applications
South China Normal University
2025
University of Shanghai for Science and Technology
2024
South China University of Technology
2023-2024
Anhui Agricultural University
2024
Qilu University of Technology
2023
Jiangxi University of Technology
2023
Xinjiang University
2020-2022
Shandong Agricultural University
2021
Jinzhong University
2019
Jiangsu University
2017-2018
Lung cancer (LC) is one of the most serious cancers threatening human health. Histopathological examination gold standard for qualitative and clinical staging lung tumors. However, process doctors to examine thousands histopathological images very cumbersome, especially with less experience. Therefore, objective pathological diagnosis results can effectively help choose appropriate treatment mode, thereby improving survival rate patients. For current problem incomplete experimental subjects...
Abstract Lung cancer and glioma are common malignancies worldwide pose a serious threat to human health. There may be certain correlation between lung patients in serum composition, but date, no study on the classification of is available. In this paper, differences relationships were analyzed from Raman spectra. The existing detection methods time consuming expensive, so we propose method based patient spectra combined with deep learning, which can screen accurately speed low cost. study,...
Abstract Medical diagnosis technology based on convolutional neural networks (CNNs) has achieved good performance. In this study, we collected serum samples from 38 glioma patients and 45 healthy controls used partial least squares (PLS) analysis to reduce the dimension of data. Different levels noise were added reduced data onto augmentation, AlexNet, ResNet, GoogLeNet fine‐tuning models applied for classification. To evaluate performance models, five‐fold cross‐validation. The accuracy...
Early screening for autism spectrum disorder (ASD) is crucial, yet current assessment tools in Chinese primary child care are limited efficacy. This study aims to employ machine learning algorithms identify key indicators from the 20-item Modified Checklist Autism Toddlers, revised (M-CHAT-R) combining with ASD-related sociodemographic and environmental factors, distinguish ASD typically developing children. Data our prior validation of M-CHAT-R (August 2016-March 2017, n = 6,049 toddlers)...
In recent years, liver cancer has caused great harm to human health. This study aims use serum Raman spectroscopy combined with deep learning algorithms classify patients and control groups. For improving the robustness of models, we added equal proportions Gaussian white noise 5, 10, 15, 20, 25 dBW enhance data, compared results convolutional neural networks long short-term memory which show that network 10-fold data enhancement was better. The accuracy 96.95%, indicating potential this...
As a characteristic edible fungus with high nutritional value and medicinal effect, the Bachu mushroom has broad market. To distinguish among mushrooms other fungi effectively accurately, as well to explore universal identification method, this study proposed method identify by Fourier Transform Infrared Spectroscopy (FT-IR) combined machine learning. In experiment, two kinds of common mushrooms, Lentinus edodes club fungi, were selected classified mushrooms. Due different distribution...
Cervical cancer is a malignant tumor that threatens women's health and life.Cervical pathology examination, as the gold standard for cervical diagnosis, provides an important basis surgical plan postoperative follow-up strategy cancer.Cervical biopsy diagnosis includes normal, low-grade squamous intraepithelial lesion (LSIL), high-grade (HSIL) cell carcinoma (SCC).At present, examination still relies on doctor's personal clinical experience subjective judgment, which time-consuming may cause...
Mastering the molecular mechanism of breast cancer (BC) can provide an in-depth understanding BC pathology. This study explored existing technologies for diagnosing BC, such as mammography, ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), and positron emission (PET) summarized disadvantages diagnosis. The purpose this article is to use gene expression profiles Cancer Genome Atlas (TCGA) Gene Expression Omnibus (GEO) classify samples normal samples. method proposed in...
Diffuse growth of glioma cells leads to gliomatosis, which has a low cure rate and high mortality. This study aims find an efficient accurate diagnostic method for by using infrared spectroscopy combined with ensemble learning model decision level fusion.
Cervical cancer is a serious threat to women's health due malignant tumours, and early detection can greatly reduce mortality. In this paper, cervical tissue was used as the research object, Raman spectroscopy analysis of inflammation precancerous tissues detect cancer. This provides clinical basis for use in lesions. study, actual spectrum signal collected, PLS Relief methods were extract characteristics spectrum. Then, we established compared KNN ELM classification models finally achieved...
Abstract In this experiment, we collected 45 samples of cervicitis, 29 low‐grade squamous intraepithelial lesion (LSIL), 44 high‐grade (HSIL), 39 cervical cell carcinoma, and 38 cases adenocarcinoma. After preprocessing the Raman spectral data, partial least squares (PLS) was used to reduce dimensionality, then extreme gradient boosting (XGBoost) for feature selection obtain first 30‐dimensional features. The preprocessed data also a fast Fourier transform (FFT) amplitude information, PLS...
Teaching modes can achieve twice the result with half effort for teaching effect. The multivariant interactive based on constructivism theory are a new kind of supported by information technology. College English under technology environment has changed relationship between teachers and students in classroom process content. It improve quality to goal effectively improving effect course students' ability using language. Based background environment, this research takes college as object...
Accurate information on the spatial distribution of crops is great significance for scientific research and production practices. Such accurate can be extracted from high-spatial-resolution optical remote sensing images. However, acquiring these images with a wide coverage difficult. We established model named multispectral super-resolution generative adversarial network (MS_SRGAN) generating high-resolution 4-m using Gaofen 1 wide-field-view (WFV) 16-m The MS_SRGAN contains generator...