http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
다중 확장된 컨볼루션 U-Net 을 사용한 간 영역 분할
신하쉬르티카 ( Shrutika Sinha ),오강한 ( Kanghan Oh ),파티마보드 ( Fatima Boud ),정환정 ( Hwan-jeong Jeong ),오일석 ( Il-seok Oh ) 한국정보처리학회 2020 한국정보처리학회 학술대회논문집 Vol.27 No.2
This paper proposes a novel automated liver segmentation using Multi-Dilated U-Nets. The proposed multidilation segmentation model has the advantage of considering both local and global shapes of the liver image. We use the CT images subject-wise, every 2D image is concatenated to 3D to calculate the IOU score and DICE score. The experimental results on Jeonbuk National University hospital dataset achieves better performance than the conventional U-Net.