A CNN with attention blocks reports 99.8% accuracy on a single-hospital colposcopy dataset, but image-level splitting likely mixes images from the same patient in training and test sets, and the paper's own confusion matrix contradicts its reported accuracy.
Chapter 2., Anatomy of the uterine cervix and the transformation zone
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An Explainable Attention Model for Cervical Precancer Risk Classification using Colposcopic Images
A CNN with attention blocks reports 99.8% accuracy on a single-hospital colposcopy dataset, but image-level splitting likely mixes images from the same patient in training and test sets, and the paper's own confusion matrix contradicts its reported accuracy.