User profiles for Do-Young Kang
 | Do-Young KangDong-A University Verified email at dau.ac.kr Cited by 1189 |
[HTML][HTML] Medical image analysis using artificial intelligence
…, H Kang, JE Jeong, DY Kang - Progress in Medical …, 2019 - synapse.koreamed.org
Purpose Automated analytical systems have begun to emerge as a database system that
enables the scanning of medical images to be performed on computers and the construction of …
enables the scanning of medical images to be performed on computers and the construction of …
[HTML][HTML] Genetic algorithm based deep learning neural network structure and hyperparameter optimization
Alzheimer’s disease is one of the major challenges of population ageing, and diagnosis
and prediction of the disease through various biomarkers is the key. While the application of …
and prediction of the disease through various biomarkers is the key. While the application of …
Lymphatic mapping and sentinel node biopsy using 99mTc tin colloid in gastric cancer
Objective: The aim of this study was to determine the feasibility of sentinel lymph node (SLN)
biopsy in patients with gastric cancer for the assessment of regional lymph node status. …
biopsy in patients with gastric cancer for the assessment of regional lymph node status. …
[HTML][HTML] Machine learning identified an Alzheimer's disease-related FDG-PET pattern which is also expressed in Lewy body dementia and Parkinson's disease …
Utilizing the publicly available neuroimaging database enabled by Alzheimer’s disease
Neuroimaging Initiative (ADNI; http://adni.loni.usc.edu/ ), we have compared the performance of …
Neuroimaging Initiative (ADNI; http://adni.loni.usc.edu/ ), we have compared the performance of …
A nomogram for predicting amyloid PET positivity in amnestic mild cognitive impairment
Background: Most clinical trials focus on amyloid-β positive (Aβ+) amnestic mild cognitive
impairment (aMCI), but screening failures are high because only a half of patients with aMCI …
impairment (aMCI), but screening failures are high because only a half of patients with aMCI …
[HTML][HTML] Anomaly analysis of Alzheimer's disease in PET images using an unsupervised adversarial deep learning model
In this study, the anomaly analysis of Alzheimer’s disease using positron emission tomography
(PET) images using an unsupervised proposed adversarial model is investigated. The …
(PET) images using an unsupervised proposed adversarial model is investigated. The …
Regional cerebral blood flow differences in patients with mild cognitive impairment between those who did and did not develop Alzheimer's disease
Mild cognitive impairment (MCI) is a heterogeneous condition associated with increased
risk of Alzheimer's disease (AD) and other dementias. This study aimed to identify areas of …
risk of Alzheimer's disease (AD) and other dementias. This study aimed to identify areas of …
Additional value of F-18 FDG PET/CT for initial staging in breast cancer with clinically negative axillary nodes
The aim of this study was to evaluate the clinical impact of the preoperative 18 F-FDG PET/CT
in the initial workup of breast cancer with clinically negative axillary nodes. Whether the …
in the initial workup of breast cancer with clinically negative axillary nodes. Whether the …
[HTML][HTML] Restoration of amyloid PET images obtained with short-time data using a generative adversarial networks framework
Our purpose in this study is to evaluate the clinical feasibility of deep-learning techniques
for F-18 florbetaben (FBB) positron emission tomography (PET) image reconstruction using …
for F-18 florbetaben (FBB) positron emission tomography (PET) image reconstruction using …
[HTML][HTML] Performance evaluation in [18F]Florbetaben brain PET images classification using 3D Convolutional Neural Network
High accuracy has been reported in deep learning classification for amyloid brain scans, an
important factor in Alzheimer’s disease diagnosis. However, the possibility of overfitting …
important factor in Alzheimer’s disease diagnosis. However, the possibility of overfitting …