A5101988927- Parasitic infections in humans and animals
- Congenital Anomalies and Fetal Surgery
- Radiomics and Machine Learning in Medical Imaging
- Microfluidic and Capillary Electrophoresis Applications
- AI in cancer detection
- Analytical Chemistry and Chromatography
- Luminescence and Fluorescent Materials
- Botanical Research and Chemistry
- Medicinal plant effects and applications
- Organic Light-Emitting Diodes Research
- MRI in cancer diagnosis
- Advanced Neural Network Applications
- Elasticity and Material Modeling
- Biosensors and Analytical Detection
- Breast Lesions and Carcinomas
- Medical Imaging Techniques and Applications
- Mining Techniques and Economics
- Analytical chemistry methods development
- Head and Neck Surgical Oncology
- Terahertz technology and applications
- Sinusitis and nasal conditions
- Medical Image Segmentation Techniques
- Random lasers and scattering media
- Neuroblastoma Research and Treatments
- Mining and Resource Management
Yuhuangding Hospital
2020-2024
Qingdao University
2020-2024
Affiliated Hospital of Qingdao University
2020-2023
Harbin University of Science and Technology
2019
China Pharmaceutical University
2018
Nankai University
2013
Beijing Obstetrics and Gynecology Hospital
2011
Capital Medical University
2011
Accurate detection and classification of breast lesions in early stage is crucial to timely formulate effective treatments for patients. We aim develop a fully automatic system detect classify using multiple contrast-enhanced mammography (CEM) images.In this study, total 1,903 females who underwent CEM examination from three hospitals were enrolled as the training set, internal testing pooled external set prospective set. Here we developed CEM-based multiprocess (MDCS) perform task lesions....
Accurate diagnosis of breast lesions and discrimination axillary lymph node (ALN) metastases largely depend on radiologist experience. To develop a deep learning-based whole-process system (DLWPS) for segmentation ALN metastasis. Retrospective. 1760 patients, who were divided into training validation sets (1110 patients), internal (476 external (174 patients) test sets. 3.0T/dynamic contrast-enhanced (DCE)-MRI sequence. DLWPS was developed using classification models. The DLWPS-based model...
Brain image segmentation is the basis and key to brain disease diagnosis, treatment planning tissue 3D reconstruction. The accuracy of directly affects therapeutic effect. Manual these images time-consuming subjective. Therefore, it important research semi-automatic automatic methods. In this paper, we propose a method combined with multi-atlas registration an active contour model (ACM). We using template optimization algorithm. First, used obtain prior shape information target tissue, then...
To evaluate the value of radiomics analysis in contrast-enhanced spectral mammography (CESM) for identification triple-negative breast cancer (TNBC).CESM images 367 pathologically confirmed patients (training set: 218, testing 149) were retrospectively analyzed. Cranial caudal (CC), mediolateral oblique (MLO), and combined models built on basis features extracted from subtracted CC, MLO, combination CC respectively, tumour region. The performance was evaluated through receiver operating...
Epidermal inclusion cysts (EICs) of the breast develop in deep parenchyma, and they are very rare. Only about 10 cases have been reported English-language literature to date. In this report, we present a rare case giant EIC with infection arising within parenchyma. Unlike typical breast, was cystic solid lesion containing large amount liquid cyst popcorn-like calcification wall. describe contrast-enhanced spectral mammography (CESM), ultrasonography, computed tomography findings provide...