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08/07/2023
ALFA – Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals
We propose an exhaustive methodology that leverages all levels of featur...
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08/21/2022
Cluster Based Secure Multi-Party Computation in Federated Learning for Histopathology Images
Federated learning (FL) is a decentralized method enabling hospitals to ...
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04/05/2022
Hospital-Agnostic Image Representation Learning in Digital Pathology
Whole Slide Images (WSIs) in digital pathology are used to diagnose canc...
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07/10/2020
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem
Variants of Triplet networks are robust entities for learning a discrimi...
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07/04/2020
Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches
We analyze the effect of offline and online triplet mining for colorecta...
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05/10/2020
Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study
As many algorithms depend on a suitable representation of data, learning...
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04/05/2020
Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks
Siamese neural network is a very powerful architecture for both feature ...
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04/04/2020