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eess.IV2025
Validation of Conformal Prediction in Cervical Atypia Classification
Misgina Tsighe Hagos, Antti Suutala, Dmitrii Bychkov +6
Deep learning based cervical cancer classification can potentially increase access to screening in low-resource regions. However, deep learning models are often overconfident and d…
eess.IV2021
Unsupervised anomaly detection in digital pathology using GANs
Milda Pocevičiūtė, Gabriel Eilertsen, Claes Lundström
Machine learning (ML) algorithms are optimized for the distribution represented by the training data. For outlier data, they often deliver predictions with equal confidence, even t…