Multi-Task Pre-Training of Deep Neural Networks for Digital Pathology

In this work, we investigate multi-task learning as a way of pre-training models for classification tasks in digital pathology. It is motivated by the fact that many small and medium-size datasets have been released by the community over the years whereas there is no large scale dataset similar to I...

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Bibliographic Details
Main Authors:	Geurts, P. (Author), Maree, R. (Author), Mormont, R. (Author)
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:	article Classification (of information) Classification tasks deep learning Deep learning deep neural network Deep neural networks Digital pathologies digital pathology E-learning feature extraction Feature extractor Fine tuning human Humans Image enhancement Large dataset Large-scale dataset Learning systems Medium size multi-task learning Multi-task learning Network architecture Neural networks Neural Networks, Computer Pathology Pre-training Training schemes transfer learning transfer of learning
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Multi-Task Pre-Training of Deep Neural Networks for Digital Pathology

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