Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation

no code implementations • 19 Dec 2019 • Minh H. Vu, Guus Grimbergen, Tufve Nyholm, Tommy Löfstedt

In this study, we systematically evaluate the segmentation performance and computational costs of this pseudo-3D approach as a function of the number of input slices, and compare the results to conventional end-to-end 2D and 3D CNNs.

Image Segmentation Medical Image Segmentation +2

End-to-End Cascaded U-Nets with a Localization Network for Kidney Tumor Segmentation

no code implementations • 16 Oct 2019 • Minh H. Vu, Guus Grimbergen, Attila Simkó, Tufve Nyholm, Tommy Löfstedt

Kidney tumor segmentation emerges as a new frontier of computer vision in medical imaging.

Segmentation Tumor Segmentation