4 Result(s)

Article

Patient-specific, deliverable, and self-expandable surgical guide development and evaluation using 4D printing for laparoscopic partial nephrectomy

Accurate lesion diagnosis through computed tomography (CT) and advances in laparoscopic or robotic surgeries have increased partial nephrectomy survival rates. However, accurately marking the kidney resection ...

Junhyeok Ock, Eunseo Gwon, Taehun Kim, Sungchul On, So** Moon… in Scientific Reports (2024)

Article

Utilizing patient-specific 3D printed kidney surgical guide with realistic phantom for partial nephrectomy

Partial nephrectomy has been demonstrated to preserve renal function compared with radical nephrectomy. Computed tomography (CT) is used to reveal localized renal cell carcinoma (RCC). However, marking RCC dir...

Junhyeok Ock, Taehun Kim, Sungchul On, Sangwook Lee, Yoon Soo Kyung… in Scientific Reports (2023)

Article

Author Correction: Active learning for accuracy enhancement of semantic segmentation with CNN-corrected label curations: Evaluation on kidney segmentation in abdominal CT

Taehun Kim, Kyung Hwa Lee, Sungwon Ham, Beomhee Park, Sangwook Lee… in Scientific Reports (2022)

Article

Active learning for accuracy enhancement of semantic segmentation with CNN-corrected label curations: Evaluation on kidney segmentation in abdominal CT

Segmentation is fundamental to medical image analysis. Recent advances in fully convolutional networks has enabled automatic segmentation; however, high labeling efforts and difficulty in acquiring sufficient ...

Taehun Kim, Kyung Hwa Lee, Sungwon Ham, Beomhee Park, Sangwook Lee… in Scientific Reports (2020)