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Found 5 papers, 1 papers with code
From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models
We thoroughly evaluate the impact of the employed generative models on state-of-the-art neural networks in terms of accuracy, convergence speed and ensembling.
Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology
Adjusting the decision threshold for the secondary Gleason pattern from 5% to 10% improved the concordance level between pathologists and vPatho for tumor grading on prostatectomy specimens (kappa from 0. 44 to 0. 64).
Federated Stain Normalization for Computational Pathology
As a solution, we propose BottleGAN, a generative model that can computationally align the staining styles of many laboratories and can be trained in a privacy-preserving manner to foster federated learning in computational pathology.
Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning
Histopathology is a reflection of the molecular changes and provides prognostic phenotypes representing the disease progression.
Deep Learning for Prostate Pathology
For case usage, these models were applied for the annotation tasks in clinician-oriented pathology reports for prostatectomy specimens.
