332 citations
- Nagoya UniversityJP7 papers
- Aichi Institute of TechnologyJP4 papers
- Imperial College LondonGB2 papers
- Gifu UniversityJP1 paper
- Mita HospitalJP1 paper
- Nagoya University HospitalJP1 paper
- National Taiwan UniversityTW1 paper
- National Taiwan University HospitalTW1 paper
- National Yang Ming Chiao Tung UniversityTW1 paper
- Nvidia (United States)US1 paper
Showing 2018Show all
3 papers · 1 filter
cs.CV2018★ 9 cited
3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation
Masahiro Oda, Natsuki Shimizu, Holger R. Roth +6
This paper presents a fully automated atlas-based pancreas segmentation method from CT volumes utilizing 3D fully convolutional network (FCN) feature-based pancreas localization. S…
cs.CV2018★ 7 cited
A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation
Holger R. Roth, Chen Shen, Hirohisa Oda +5
Recent advances in deep learning, like 3D fully convolutional networks (FCNs), have improved the state-of-the-art in dense semantic segmentation of medical images. However, most ne…
cs.CV2018★ 332 cited
An application of cascaded 3D fully convolutional networks for medical image segmentation
Holger R. Roth, Hirohisa Oda, Xiangrong Zhou +7
Recent advances in 3D fully convolutional networks (FCN) have made it feasible to produce dense voxel-wise predictions of volumetric images. In this work, we show that a multi-clas…