Publications by authors named "Young Tack Oh"
Article Synopsis
- Large datasets of fundus images for eye diseases have been collected to train deep learning models for diagnosing common conditions like diabetic retinopathy, but many systems overlook rare, sight-threatening diseases.
- A grand challenge called "Retinal Image Analysis for multi-Disease Detection" was held at the IEEE International Symposium on Biomedical Imaging to enhance automatic detection for both common and rare eye diseases, using a new dataset called RFMiD.
- The challenge attracted significant interest, with 74 submissions, and the best solutions combined techniques like data-preprocessing, augmentation, and model ensembling to improve detection capabilities across a wider range of ocular diseases.
Tumor-Attentive Segmentation-Guided GAN for Synthesizing Breast Contrast-Enhanced MRI Without Contrast Agents.
IEEE J Transl Eng Health Med
December 2022
Objective: Breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a sensitive imaging technique critical for breast cancer diagnosis. However, the administration of contrast agents poses a potential risk. This can be avoided if contrast-enhanced MRI can be obtained without using contrast agents.
View Article and Find Full Text PDFGiant multilocular prostatic cystadenoma (GMPC) is a rare benign tumor involving the prostate gland. Microscopically, it masquerades phyllodes tumor or transitional zone hyperplasia. We report one case of GMPC arising from the prostate central zone (CZ), presenting with long-standing aspermia associated with seminal vesicle fibrous obliteration.
View Article and Find Full Text PDF