469 citations
- Heidelberg UniversityDE27 papers
- German Cancer Research CenterDE21 papers
- University Hospital HeidelbergDE9 papers
- Imperial College LondonGB5 papers
- National Center for Tumor DiseasesDE5 papers
- Goethe University FrankfurtDE4 papers
- Heidelberg Institute for Theoretical StudiesDE4 papers
- Radboud University Medical CenterNL4 papers
- Radboud University NijmegenNL4 papers
- Universität HamburgDE4 papers
- University College LondonGB4 papers
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Showing 2018Show all
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cs.CV2018★ 283 cited
Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification
Marc Combalia, Veronica Vilaplana
We propose a patch sampling strategy based on a sequential Monte-Carlo method for high resolution image classification in the context of Multiple Instance Learning. When compared w…
cs.CV2018
Domain Adaptation for Deviating Acquisition Protocols in CNN-based Lesion Classification on Diffusion-Weighted MR Images
Jennifer Kamphenkel, Paul F. Jaeger, Sebastian Bickelhaupt +8
End-to-end deep learning improves breast cancer classification on diffusion-weighted MR images (DWI) using a convolutional neural network (CNN) architecture. A limitation of CNN as…