WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need

no code implementations • 13 Sep 2021 • Yoni Schirris, Mendel Engelaer, Andreas Panteli, Hugo Mark Horlings, Efstratios Gavves, Jonas Teuwen

We present WeakSTIL, an interpretable two-stage weak label deep learning pipeline for scoring the percentage of stromal tumor infiltrating lymphocytes (sTIL%) in H&E-stained whole-slide images (WSIs) of breast cancer tissue.

Decision Making Multiple Instance Learning +2

Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations

no code implementations • ICCV 2021 • Andreas Panteli, Jonas Teuwen, Hugo Horlings, Efstratios Gavves

However, outside the setting of regular images, we are often confronted with a different situation.

Siamese Tracking of Cell Behaviour Patterns

no code implementations • MIDL 2019 • Andreas Panteli, Deepak K. Gupta, Nathan de Bruin, Efstratios Gavves

Tracking and segmentation of biological cells in video sequences is a challenging problem, especially due to the similarity of the cells and high levels of inherent noise.

Cell Tracking Segmentation

Tracking-Assisted Segmentation of Biological Cells

no code implementations • 19 Oct 2019 • Deepak K. Gupta, Nathan de Bruijn, Andreas Panteli, Efstratios Gavves

U-Net and its variants have been demonstrated to work sufficiently well in biological cell tracking and segmentation.

Cell Tracking Segmentation