A semi-supervised learning approach for bladder cancer grading
Recent advances in semi-supervised learning algorithms (SSL) have made great strides in reducing the training dependency on labeled datasets and requiring that only a subset of the data be labeled. The presented work explores a class of semi-supervised learning algorithms that uses consistency regul...
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-09-01
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Series: | Machine Learning with Applications |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827022000512 |