Claudio Manna, Loris Nanni, Alessandra Lumini, Sebastiana Pappalardo 

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Presentation transcript:

Artificial intelligence techniques for embryo and oocyte classification  Claudio Manna, Loris Nanni, Alessandra Lumini, Sebastiana Pappalardo  Reproductive BioMedicine Online  Volume 26, Issue 1, Pages 42-49 (January 2013) DOI: 10.1016/j.rbmo.2012.09.015 Copyright © 2012 Reproductive Healthcare Ltd. Terms and Conditions

Figure 1 Proposed system for embryo and oocyte image classification. Reproductive BioMedicine Online 2013 26, 42-49DOI: (10.1016/j.rbmo.2012.09.015) Copyright © 2012 Reproductive Healthcare Ltd. Terms and Conditions

Figure 2 Segmented images (left) and their enhanced versions (right) of an oocyte and an embryo. Reproductive BioMedicine Online 2013 26, 42-49DOI: (10.1016/j.rbmo.2012.09.015) Copyright © 2012 Reproductive Healthcare Ltd. Terms and Conditions

Figure 3 Receiver operating characteristic (ROC) curves: (A) oocytes with first testing protocol (1TP), (B) oocytes with second testing protocol (2TP), (C) embryos with 1TP, (D) embryos with 2TP. Areas under the curve are reported in Table 7. Reproductive BioMedicine Online 2013 26, 42-49DOI: (10.1016/j.rbmo.2012.09.015) Copyright © 2012 Reproductive Healthcare Ltd. Terms and Conditions

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