medical-10
Automated Pancreas Segmentation
3260 papers • 126 benchmarks • 313 datasets
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Most implemented papers
Hierarchical 3D Feature Learning for Pancreas Segmentation
S. Palazzo, C. Spampinato, Federica Proietto Salanitri, Giovanni Bellitto, I. Irmakci, Ulas Bagci•Tue Aug 31 2021
The proposed 3D fully convolutional deep network consists of a 3D encoder that learns to extract volume features at different scales; features taken at different points of the encoder hierarchy are then sent to multiple 3D decoders that individually predict intermediate segmentation maps.
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