A fine-tuned ResNet-101 classifies ovarian tissue brightfield images into five FIGO-like stages with 97.62% test accuracy, but patient-level independence and reproducibility are unverified.
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Automated grading and staging of ovarian cancer using deep learning on the transmission optical microscopy bright-field images of thin biopsy tissue samples
A fine-tuned ResNet-101 classifies ovarian tissue brightfield images into five FIGO-like stages with 97.62% test accuracy, but patient-level independence and reproducibility are unverified.