Browsing by Author "Liu, Hong"
Now showing items 1-20 of 26
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Applying novel machine learning technology to optimize computer-aided detection and diagnosis of medical images
Heidari, Morteza (2021-05-14)The purpose of developing Computer-Aided Detection (CAD) schemes is to assist physicians (i.e., radiologists) in interpreting medical imaging findings and reducing inter-reader variability more accurately. In developing ... -
Automatic picking and classification of acoustic emission event arrivals
Ortiz, Alvaro Andres (2010)Accurate automatic classification and picking of arrival times of events from acoustic emission (AE) signals is of considerable importance for rapid identification and location of seismic events. Due to the large number ... -
COMPREHENSIVE PERFORMANCE EVALUATION AND OPTIMIZATION OF HIGH THROUGHPUT SCANNING MICROSCOPY FOR METAPHASE CHROMOSOME IMAGING
Qiu, Yuchen (2013-12)Specimen scanning is a critically important tool for diagnosing the genetic diseases in today’s hospital. In order to reduce the clinician’s work load, many investigations have been conducted on developing automatic sample ... -
Developing and Applying CAD-generated Image Markers to Assist Disease Diagnosis and Prognosis Prediction
Danala, Gopichandh (2022-05-13)Developing computer-aided detection and/or diagnosis (CAD) schemes has been an active research topic in medical imaging informatics (MII) with promising results in assisting clinicians in making better diagnostic and/or ... -
DEVELOPING MEDICAL IMAGE SEGMENTATION AND COMPUTER-AIDED DIAGNOSIS SYSTEMS USING DEEP NEURAL NETWORKS
Wang, Yunzhi (2018-12-14)Diagnostic medical imaging is an important non-invasive tool in medicine. It provides doctors (i.e., radiologists) with rich diagnostic information in clinical practice. Computer-aided diagnosis (CAD) schemes aim to provide ... -
DEVELOPING NOVEL COMPUTER-AIDED DETECTION AND DIAGNOSIS SYSTEMS OF MEDICAL IMAGES
Aghaei, Faranak (2019-12-13)Reading medical images to detect and diagnose diseases is often difficult and has large inter-reader variability. To address this issue, developing computer-aided detection and diagnosis (CAD) schemes or systems of medical ... -
Developing novel quantitative imaging analysis schemes based machine learning for cancer research
Mirniaharikandehei, Seyedehnafiseh (2021-05-14)The computer-aided detection (CAD) scheme is a developing technology in the medical imaging field, and it attracted extensive research interest in recent years. In this dissertation, I investigated the feasibility of ... -
DEVELOPMENT AND CHARACTERIZATION OF A HIGH ENERGY PHASE CONTRAST X-RAY IMAGING SYSTEM PROTOTYPE
Wong, Molly Eileen Donovan (2011)The field of mammography receives constant research attention focused on improving the balance between the benefits of cancer screening and the risks of harmful radiation to the patient. As a result, numerous advancements ... -
EEG/MEG Sparse Source Imaging and Its Application in Epilepsy
Zhu, Min (2013-12-13)This dissertation is a summary of my Ph.D. work on the development of sparse source imaging technologies based on electroencephalography (EEG) and magneto-encephalography (MEG) and their application to noninvasively ... -
Extended Observation Particle Filter with SVD Template Generation Implemented for GPU
Williams, Jonathan (2018-12)This work presents a novel template updating strategy based on singular value decomposition (SVD) together with an expansion and extension of previous work combining observations across temporally adjacent frames to implement ... -
HIGH-THROUGHPUT FLUORESCENCE MICROSCOPY FOR AUTOMATED CLINICAL APPLICATIONS
Li, Zheng (2017-05-12)Fluorescence in situ hybridization (FISH) is a powerful tool for visualizing and detecting genetic abnormalities. Manual scoring FISH analysis is a tedious and labor-and-time-consuming task. Automated image acquisition and ... -
Innovative Growth Techniques and Heterogeneous Structures for PbSe-Based MWIR Photodetectors
McDowell, Lance (2022-12-16)Lead-chalcogenide semiconductor materials such as PbSe are an attractive class of narrow band-gap semiconductors due to their unique optical and electrical properties, finding their way into numerous mid-wave infrared ... -
MEDICAL SIGNALS ALIGNMENT AND PRIVACY PROTECTION USING BELIEF PROPAGATION AND COMPRESSED SENSING
Roozgard, Aminmohammad (2014-11-10)The advance in human genome sequencing technology has significantly reduced the cost of data generation and overwhelms the computing capability of sequence analysis. Efficiency, efficacy and scalability remain challenging ... -
MODELLING AND VERIFICATION OF THERMOACOUSTIC MEDICAL IMAGING FROM NANOSCOPIC TO MACROSCOPIC RESOLUTIONS
Samant, Pratik (2019-12-13)In this thesis, three main questions regarding the potential of thermoacoustic imaging are answered: 1) what are the conventional resolution limitations of photoacoustic imaging and how can they be extended to enable ... -
MULTI-CONTRAST OPTICAL COHERENCE TOMOGRAPHY FOR VARIOUS BIOMEDICAL APPLICATIONS
Yan, Feng (2024-05-10)Optical coherence tomography (OCT) is a label-free optical imaging technique that provides noninvasive visualization of biological tissue microstructures with micrometer-scale resolution and millimeter-scale penetration ... -
Multiclass Bone Segmentation of PET/CT Scans for Automatic SUV Extraction
Hurtado Eguez, Christian Favio (2021-12-17)In this thesis I present an automated framework for segmentation of bone structures from dual modality PET/CT scans and further extraction of SUV measurements. The first stage of this framework consists of a variant of ... -
Novel Computer-Aided Diagnosis Schemes for Radiological Image Analysis
Chen, Xuxin (2022-05-13)The computer-aided diagnosis (CAD) scheme is a powerful tool in assisting clinicians (e.g., radiologists) to interpret medical images more accurately and efficiently. In developing high-performing CAD schemes, classic ... -
Objective Characterization of In-line Phase Contrast X-ray Imaging Prototype Using a Mid-energy Beam
Gregory, Bradley (2019-08)The purpose of the research presented in this thesis is the characterization of an in-line phase contrast x-ray imaging prototype operating at mid-energy, and to compare the data to that of high energy imaging with the ... -
Optimization of a High-Energy X-Ray Inline Phase Sensitive Imaging System for Diagnosis of Breast Cancer
Ghani, Muhammad (2018-05-11)Breast cancer screening modalities have received constant research attention that are mainly focused on their abilities to detect cancer at an early stage while reducing the risks of harmful radiation dose delivered to the ... -
Regression and Classification of Breast Cancer Depicting on Digital Pathology Images Using Convolution Neural Networks
He, Linsheng (2019-05-10)Computer-Aided Detection and Diagnosis (CAD) of medical images has been developed and tested for the last three decades. It is designed to be an effective time-saving assistant and provide doctors with a wealth of diagnostic ...