Computational Pathology Lab @ The Netherlands Cancer Institute
Our team focuses on the development of Computational Pathology approaches that combine clinical, pathology and genomics data with image analysis to find the balance between over- and under-treatment of breast and ovarian cancer.
Latest news
H100 server joins our AI cluster
We have added Herakles, a server with 8xH100 SXM5 GPUs, to our Kosmos cluster. This will allow us to scale our AI models significantly.
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March 6, 2024
New A100 80GB server installed
Another compute node has been installed in the AI for Oncology Cluster kosmos. The server, nicknamed euctemon, consists of 8xA100 80G, dual CPU and 1TB of memory. Euctemon joins the slurm cluster which now consists out of 16xA100 80GB, 16xA6000 48GB and 4x RTX2080Ti, and 1 PB NAS.
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Sept. 23, 2022
DeepSMILE published in Medical Image Analysis
In this work we use whole-slide image (WSI) compression and multiple instance learning to predict homologous recombination deficiency and microsatellite instability from breast cancer and colorectal cancer WSIs. Both these labels are closely related to a patient’s response to immune- and targeted therapies.
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May 15, 2022
Research
The research projects of the Computational Pathology Lab
