Transcriptome-supervised classification of tissue morphology using deep learning

no code implementations • 7 Dec 2023 • Axel Andersson, Gabriele Partel, Leslie Solorzano, Carolina Wählby

Here we conjecture that spatially resolved gene expression, e. i., the transcriptome, can be used as an alternative to manual annotations.

End-to-end Multiple Instance Learning with Gradient Accumulation

1 code implementation • 8 Mar 2022 • Axel Andersson, Nadezhda Koriakina, Nataša Sladoje, Joakim Lindblad

We conduct experiments on both QMNIST and Imagenette to investigate the performance and training time, and compare with the conventional memory-expensive baseline and a recent sampled-based approach.

Multiple Instance Learning Self-Supervised Learning +1