Solid Tumor Associative Modeling in Pathology

agents bioimage-analysis bioinformatics deep-learning digital-pathology heatmaps-visualization-tool histopathology mcp mcp-server pathology pathology-informatics research tcga-data weakly-supervised-learning whole-slide-imaging
1 Open Issue Need Help Last updated: Sep 5, 2025

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AI Summary: This issue proposes adding a linear classifier (logistic regression style) as an alternative to the current MLP for patient-level modeling. The new model should integrate seamlessly with the existing training pipeline, using the same input format, preprocessing, loss, optimizer, learning rate schedule, outputs, and metrics as the MLP. It will be configurable via `config.yaml` to serve as a simpler baseline and a faster option for benchmarking.

Complexity: 2/5
enhancement good first issue

Solid Tumor Associative Modeling in Pathology

Python
#agents#bioimage-analysis#bioinformatics#deep-learning#digital-pathology#heatmaps-visualization-tool#histopathology#mcp#mcp-server#pathology#pathology-informatics#research#tcga-data#weakly-supervised-learning#whole-slide-imaging