no code implementations • 13 Jan 2022 • Masahiro Oda, Kiyohito Tanaka, Hirotsugu TAKABATAKE, Masaki MORI, Hiroshi NATORI, Kensaku MORI
Virtual endoscopic images are generated by using a volume rendering method from a CT volume of a patient.
no code implementations • 12 Jan 2022 • Masahiro Oda, Hayato Itoh, Kiyohito Tanaka, Hirotsugu TAKABATAKE, Masaki MORI, Hiroshi NATORI, Kensaku MORI
The identification accuracy of the network improved from 69. 2% to 74. 1% by using the estimated depth images.
no code implementations • 20 Oct 2020 • Tong Zheng, Hirohisa ODA, Masahiro Oda, Shota NAKAMURA, Masaki MORI, Hirotsugu TAKABATAKE, Hiroshi NATORI, Kensaku MORI
Unsupervised SR methods are required that do not need paired LR and HR images.
no code implementations • 7 Apr 2020 • Tong ZHENG, Hirohisa ODA, Takayasu MORIYA, Takaaki SUGINO, Shota NAKAMURA, Masahiro Oda, Masaki MORI, Hirotsugu TAKABATAKE, Hiroshi NATORI, Kensaku MORI
This paper presents a super-resolution (SR) method with unpaired training dataset of clinical CT and micro CT volumes.