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Table 2 Mean accuracy coefficient \(\overline{Acc}\)

From: Human oocytes image classification method based on deep neural networks

ID

Input layer

Accuracy

1

Oocyte image

0.41

2

Clear cytoplasm

0.49

3

Diffuse cytoplasmic granularity

0.40

4

Cytoplasmic granular area

0.47

5

Smooth endoplasmic reticulum cluster

0.33

6

Vacuoles

0.36

7

Dark cytoplasm

0.35

8

First polar body

0.58

9

Multi-polar body

0.33

10

Fragmented first polar body

0.39

11

Second polar body

0.33

12

Perivitelline space

0.50

13

Zona pellucida

0.54

14

Germinal vesicle

0.66

15

Cumulus /corona cells

0.33

  1. Network input: class specified in the table. Output: oocyte type (PI/MI/MII)