A5031987827- Radiomics and Machine Learning in Medical Imaging
- Digital Radiography and Breast Imaging
- AI in cancer detection
- Medical Imaging Techniques and Applications
- Breast Lesions and Carcinomas
- Breast Cancer Treatment Studies
- Advanced X-ray and CT Imaging
- Image Enhancement Techniques
- MRI in cancer diagnosis
- Infrared Thermography in Medicine
- Color Science and Applications
- Color perception and design
Southern Medical University
2021-2024
Nanfang Hospital
2021-2024
Chengdu University of Technology
2023
Abstract Objectives To investigate the imaging characteristics and clinicopathological features of rim enhancement breast masses demonstrated on contrast-enhanced mammography (CEM). Methods 67 cases lesions confirmed by pathology showing CEM examinations were analyzed. The divided into benign malignant groups, morphological enhanced described. Sensitivity, specificity, positive predictive value (PPV), negative (NPV) calculated separately for each morphology descriptor to evaluate diagnostic...
Radiologists' diagnostic capabilities for breast mass lesions depend on their experience. Junior radiologists may underestimate or overestimate Breast Imaging Reporting and Data System (BI-RADS) categories of owing to a lack The computer-aided diagnosis (CAD) method assists in improving performance by providing classification reference radiologists. This study aims evaluate the impact CAD based perceptive features learned from quantitative BI-RADS descriptions performance. We conducted...
To investigate the capability of morphological and enhancement pattern analysis in contrast-enhanced mammography (CEM) to differentiate between benign malignant papillary breast lesions.
Objective: To evaluate the mammographic features, clinicopathological characteristics, treatments, and prognosis of pure mixed tubular carcinomas breast. Materials methods: Twenty-five were pathologically confirmed at our hospital from January 2011 to May 2019. Twenty-one patients underwent preoperative mammography. A retrospective analysis treatment, outcomes was performed. Results: Altogether, 95% (PTCs) (MTCs) showed presence a mass or structural distortions on mammography difference not...
The selection of colorants mixed at different concentrations is a central issue in the design color schemes for opaque products, with difference often serving as primary criterion evaluating quality such schemes. This paper addresses cost control actual production and background batch coloring by constructing comprehensive color-matching model applicable to computer-aided coloration problems. Firstly, based on K-M single constant theory total calculation method CIELAB space, formula...
Abstract Background: Computer-aided diagnosis (CAD) system can provide reference to radiologists in breast mass classification. This study was verify if a CAD model, based on perceptive features learned from quantitative BI-RADS descriptions, help improve performance for masses mammography. Methods: A retrospective multi-reader multi-case (MRMC) conducted evaluate model established features. Digital mammograms of 416 patients with were collected 2014 2017, including 231 benign and 185...