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20172020
most citedOn the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks

31 citations · 65 across the 5 of their papers we have counts for

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Showing 2017Show all

2 papers · 1 filter

cs.CV2017★ 29 cited

Towards Automatic Abdominal Multi-Organ Segmentation in Dual Energy CT using Cascaded 3D Fully Convolutional Network

Shuqing Chen, Holger Roth, Sabrina Dorn +7

Automatic multi-organ segmentation of the dual energy computed tomography (DECT) data can be beneficial for biomedical research and clinical applications. However, it is a challeng…

cs.CV2017

Multi-scale Image Fusion Between Pre-operative Clinical CT and X-ray Microtomography of Lung Pathology

Holger R. Roth, Kai Nagara, Hirohisa Oda +4

Computational anatomy allows the quantitative analysis of organs in medical images. However, most analysis is constrained to the millimeter scale because of the limited resolution…