Y. Seong

发表

A deep learning framework for supporting the classification of breast lesions in ultrasound images

Seokmin Han, Hokyung Kang, J. Jeong, 2017, Physics in medicine and biology.

Technology trends and applications of deep learning in ultrasonography: image quality enhancement, diagnostic support, and improving workflow efficiency

Hokyung Kang, M. Park, Won-Chul Bang, 2020, Ultrasonography.

Efficient File Management for Hard Disk Drive Embedded Digital Satellite Receiver(Regular Section)

Tae-Sun Choi, Yeong Kyeong Seong, Yun-Hee Choi, 2002 .

Diagnosis of Thyroid Nodules: Performance of a Deep Learning Convolutional Neural Network Model vs. Radiologists

M. Park, Y. Seong, Kyunghwa Han, 2019, Scientific Reports.

Fourier-based shape feature extraction technique for computer-aided B-Mode ultrasound diagnosis of breast tumor

Moon Ho Park, Jong-Ha Lee, Yeong Kyeong Seong, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Multiscale superpixel classification for tumor segmentation in breast ultrasound images

Qiang Wang, Yeong Kyeong Seong, Zhihui Hao, 2012, 2012 19th IEEE International Conference on Image Processing.

Computer-aided classification of liver tumors in 3D ultrasound images with combined deformable model segmentation and support vector machine

Moon Ho Park, Jong Hyo Kim, Ye-Hoon Kim, 2014, Medical Imaging.

Tumor Subtype-Specific Parameter Optimization in a Hybrid Active Surface Model for Hepatic Tumor Segmentation of 3D Liver Ultrasonograms

Moon Ho Park, Jong Hyo Kim, Ye-Hoon Kim, 2013, Abdominal Imaging.

Multiobjective evolutionary optimization for tumor segmentation of breast ultrasound images

Moon Ho Park, Ye-Hoon Kim, Yeong Kyeong Seong, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Combining CRF and Multi-hypothesis Detection for Accurate Lesion Segmentation in Breast Sonograms

Qiang Wang, Jong-Ha Lee, Yeong Kyeong Seong, 2012, MICCAI.

Fast microcalcification detection in ultrasound images using image enhancement and threshold adjacency statistics

Jong-Ha Lee, Yeong Kyeong Seong, Baek Hwan Cho, 2013, Medical Imaging.

Scene text detection suitable for parallelizing on multi-core

Yeong Kyeong Seong, Jin Man Park, Heejin Chung, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

A deep learning framework for supporting the classification of breast lesions in ultrasound images

Seokmin Han, Hokyung Kang, J. Jeong, 2017, Physics in medicine and biology.