Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Karasawa, Ken'ichi"'
Autor:
Oda, Masahiro, Shimizu, Natsuki, Karasawa, Ken'ichi, Nimura, Yukitaka, Kitasaka, Takayuki, Misawa, Kazunari, Fujiwara, Michitaka, Rueckert, Daniel, Mori, Kensaku
Publikováno v:
Published in Proceedings of MICCAI 2016, LNCS 9901, pp 556-563
This paper proposes a fully automated atlas-based pancreas segmentation method from CT volumes utilizing atlas localization by regression forest and atlas generation using blood vessel information. Previous probabilistic atlas-based pancreas segmenta
Externí odkaz:
http://arxiv.org/abs/2005.03345
Autor:
Oda, Masahiro, Shimizu, Natsuki, Roth, Holger R., Karasawa, Ken'ichi, Kitasaka, Takayuki, Misawa, Kazunari, Fujiwara, Michitaka, Rueckert, Daniel, Mori, Kensaku
Publikováno v:
DLMIA 2017, ML-CDS 2017: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, pp.222-230
This paper presents a fully automated atlas-based pancreas segmentation method from CT volumes utilizing 3D fully convolutional network (FCN) feature-based pancreas localization. Segmentation of the pancreas is difficult because it has larger inter-p
Externí odkaz:
http://arxiv.org/abs/1806.03019
Autor:
Karasawa, Ken’ichi a, Oda, Masahiro a, Kitasaka, Takayuki b, Misawa, Kazunari c, Fujiwara, Michitaka d, Chu, Chengwen e, Zheng, Guoyan e, Rueckert, Daniel f, Mori, Kensaku ⁎, a, g
Publikováno v:
In Medical Image Analysis July 2017 39:18-28
Autor:
Karasawa, Ken'ichi, Kitasaka, Takayuki, Oda, Masahiro, Nimura, Yukitaka, Hayashi, Yuichiro, Fujiwara, Michitaka, Misawa, Kazunari, Rueckert, Daniel, Mori, Kensaku
Publikováno v:
Medical Computer Vision: Algorithms for Big Data: International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers; 2016, p47-56, 10p
Autor:
Oda, Masahiro, Shimizu, Natsuki, Karasawa, Ken'ichi, Nimura, Yukitaka, Kitasaka, Takayuki, Misawa, Kazunari, Fujiwara, Michitaka, Rueckert, Daniel, Mori, Kensaku
Publikováno v:
Medical Image Computing & Computer-Assisted Intervention -- MICCAI 2016: Part II; 2016, p556-563, 8p