Machine learning for the classification of ovarian follicles from histology images

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2022-10

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https://hdl.handle.net/2022/29029

Abstract

We have developed a preliminary Convolutional Neural Network (CNN) to classify ovarian follicles in histology slides. The code was developed in Jupyter Notebooks using PyTorch. We found that a CNN with moderate accuracy could be developed that could classify across six different follicle types.

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This work can be reused without restriction for non-commercial purposes.
 https://creativecommons.org/licenses/by-nc/4.0/

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Presentation

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MOTHER Histology