CNN ensemble for prostate cancer Gleason grading
Automated Gleason grading of prostate cancer WSIs on the PANDA dataset.
Computationally efficient multi-scale foundation model for computational pathology. 71M parameters, runs end-to-end on a single consumer GPU.
Preprocessing as the independent variable in computational-pathology benchmarking: tissue detection x colour calibration, crossed against task-trained and frozen tile encoders, scored on ISUP agreement and on the failures agreement hides. Real OpenSlide pyramids, QuPath interop, reproducible.
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