A New Graph Node Classification Benchmark: Learning Structure from Histology Cell Graphs

1 code implementation • 11 Nov 2022 • Claudia Vanea, Jonathan Campbell, Omri Dodi, Liis Salumäe, Karen Meir, Drorith Hochner-Celnikier, Hagit Hochner, Triin Laisk, Linda M. Ernst, Cecilia M. Lindgren, Christoffer Nellåker

We introduce a new benchmark dataset, Placenta, for node classification in an underexplored domain: predicting microanatomical tissue structures from cell graphs in placenta histology whole slide images.

Graph Learning Node Classification +1

Adjusting for Confounding in Unsupervised Latent Representations of Images

1 code implementation • 15 Nov 2018 • Craig A. Glastonbury, Michael Ferlaino, Christoffer Nellåker, Cecilia M. Lindgren

Biological imaging data are often partially confounded or contain unwanted variability.

From Same Photo: Cheating on Visual Kinship Challenges

no code implementations • 17 Sep 2018 • Mitchell Dawson, Andrew Zisserman, Christoffer Nellåker

In the instance of data sets for visual kinship verification, one such unintended signal could be that the faces are cropped from the same photograph, since faces from the same photograph are more likely to be from the same family.

Kinship Verification

Towards Deep Cellular Phenotyping in Placental Histology

1 code implementation • 9 Apr 2018 • Michael Ferlaino, Craig A. Glastonbury, Carolina Motta-Mejia, Manu Vatish, Ingrid Granne, Stephen Kennedy, Cecilia M. Lindgren, Christoffer Nellåker

The placenta is a complex organ, playing multiple roles during fetal development.

Transfer Learning