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Total 6건 1 페이지

2023-09-19

The diagnostic performance and clinical value of deep learning-based nodule detection system concerning infuence of location of pulmonary nodule

Seulgi You, Ji Hyun Park, Bumhee Park, Han-Bit Shin, Taeyang Ha, Jae Sung Yun, Kyoung Joo Park, Yongjun Jung, You Na Kim, Minji Kim, Joo Sung Sun
2022-03-18

Utilizing Synthetic Nodules for Improving Nodule detection in chest radiographs

Minki Chung, Seo Taek Kong, Beomhee Park, Younjoon Chung, Kyu-Hwan Jung, Joon Beom Seo
2021-10-20

Utility of a Deep Learning Algorithm for Detection of Reticular Opacity on Chest Radiography in Patients With Interstitial Lung Disease

Wooil Kim, Sang Min Lee, Jung Im Kim, Yura Ahn, Sohee Park, Jooae Choe, Joon Beom Seo
2021-03-23

Added value of deep learning based detection system for multiple major findings on chest radiograph

Jinkyeong Sung, Sohee Park, Sang Min Lee, Woong Bae, Beomhee Park, Eunkyung Jung, Joon Beom Seo, Kyu-Hwan Jung
2019-12-10

Short-term Reproducibility of Pulmonary Nodule and Mass Detection in Chest Radiographs- Comparison among Radiologists and Four Different Computer-Aided Detections with Convolutional Neural Net

Young-Gon Kim, Yongwon Cho, Chen-Jiang Wu, Sejin Park, Kyu-Hwan Jung, Joon Beom Seo, Hyun Joo Lee, Hye Jeon Hwang, Sang Min Lee, Namkug Kim
2019-11-20

Deep learning-based detection system for multiclass lesions on chest radiographs- comparison with observer readings

Sohee Park, Sang Min Lee, Kyung Hee Lee, Kyu-Hwan Jung, Woong Bae, Jooae Choe, Joon Beom Seo

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Publications

The diagnostic performance and clinical value of deep learning-based nodule detection system concerning infuence of location of pulmonary nodule

Utilizing Synthetic Nodules for Improving Nodule detection in chest radiographs

Utility of a Deep Learning Algorithm for Detection of Reticular Opacity on Chest Radiography in Patients With Interstitial Lung Disease

Added value of deep learning based detection system for multiple major findings on chest radiograph

Short-term Reproducibility of Pulmonary Nodule and Mass Detection in Chest Radiographs- Comparison among Radiologists and Four Different Computer-Aided Detections with Convolutional Neural Net

Deep learning-based detection system for multiclass lesions on chest radiographs- comparison with observer readings