MRI-based automatic segmentation of rectal cancer using 2D U-Net on two independent cohorts.

Autor: Knuth F; Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway., Adde IA; Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway., Huynh BN; Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway., Groendahl AR; Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway., Winter RM; Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway., Negård A; Department of Radiology, Akershus University Hospital, Lørenskog, Norway.; Institute of Clinical Medicine, University of Oslo, Oslo, Norway., Holmedal SH; Department of Radiology, Akershus University Hospital, Lørenskog, Norway., Meltzer S; Department of Oncology, Akershus University Hospital, Lørenskog, Norway., Ree AH; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.; Department of Oncology, Akershus University Hospital, Lørenskog, Norway., Flatmark K; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.; Department of Gastroenterological Surgery, Oslo University Hospital, Oslo, Norway., Dueland S; Department of Oncology, Oslo University Hospital, Oslo, Norway., Hole KH; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.; Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway., Seierstad T; Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway., Redalen KR; Department of Physics, Norwegian University of Science and Technology, Trondheim, Norway., Futsaether CM; Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway.

Publikováno v: Acta oncologica (Stockholm, Sweden) [Acta Oncol] 2022 Feb; Vol. 61 (2), pp. 255-263. Date of Electronic Publication: 2021 Dec 17.