output
20172022
most citedAn application of cascaded 3D fully convolutional networks for medical image segmentation

332 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing eess.IVShow all

2 papers · 1 filter

eess.IV2022

Semi-automated Virtual Unfolded View Generation Method of Stomach from CT Volumes

Masahiro Oda, Tomoaki Suito, Yuichiro Hayashi +9

CT image-based diagnosis of the stomach is developed as a new way of diagnostic method. A virtual unfolded (VU) view is suitable for displaying its wall. In this paper, we propose…

eess.IV2020★ 1 cited

Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning

Pochuan Wang, Chen Shen, Holger R. Roth +9

The performance of deep learning-based methods strongly relies on the number of datasets used for training. Many efforts have been made to increase the data in the medical image an…