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Table 3 Architectural details of efficientNet B0 model for cell classification [15]

From: A graph neural network framework for mapping histological topology in oral mucosal tissue

Stage

Function block

Resolution

#Channels

#Layers

i

\( {\mathcal {F}}_i\)

\(H_i \times W_i\)

\(C_i\)

\(L_i\)

1

Conv \(3\times 3\)

\(224\times 224\)

32

1

2

MBConv1, \(3\times 3\)

\(112\times 112\)

16

1

3

MBConv6, \(3\times 3\)

\(112\times 112\)

24

2

4

MBConv6, \(k5\times 5\)

\(56\times 56\)

40

2

5

MBConv6, \(k3\times 3\)

\(28\times 28\)

80

3

6

MBConv6, \(k5\times 5\)

\(14\times 14\)

112

3

7

MBConv6, \(k5\times 5\)

\(14\times 14\)

192

4

8

MBConv6, \(k3\times 3\)

\(7\times 7\)

320

1

9

Conv \(1\times 1\) & Pooling & FC

\(7\times 7\)

1280

1