Open source tools for computational pathology - Nature BME
PFA-ScanNet: Pyramidal Feature Aggregation With Synergistic Learning for Breast Cancer Metastasis Analysis (Architecture Only Pytorch Implementation).
AEM: Attention Entropy Maximization for Multiple Instance Learning based Whole Slide Image Classification
Computationally efficient multi-scale foundation model for computational pathology. 71M parameters, runs end-to-end on a single consumer GPU.
Dissertation completed for the award of MSci in Computer Science. This dissertation is about automated breast cancer detection in low-resolution whole-slide pathology images using a deep convolutional neural network pipeline.
Auditing biological foundation models: does the model measure biology, or the instrument? Verified with a pre-registered, snapshot-frozen harness.
Pathology foundation models as well as ViT MIL models will be finetuned & benchmarked at the HPC server with Graphcore's IPUs. This service has been provided by AICA, a national data center agency for the support of high performance computing(HPC), located in Gwangju, s. Korea.
Lymph-node metastasis detection that holds up in unseen hospitals (Camelyon17-WILDS): per-hospital evaluation, stain color methods, calibration and abstention
To associate your repository with the camelyon17 topic, visit your repo's landing page and select "manage topics."