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Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study
As many algorithms depend on a suitable representation of data, learning...
05/10/2020 ∙ by Milad Sikaroudi, et al. ∙
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Fisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks
Siamese neural network is a very powerful architecture for both feature ...
04/05/2020 ∙ by Benyamin Ghojogh, et al. ∙
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Pan-Cancer Diagnostic Consensus Through Searching Archival Histopathology Images Using Artificial Intelligence
The emergence of digital pathology has opened new horizons for histopath...
11/20/2019 ∙ by Shivam Kalra, et al. ∙
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