. Author manuscript; available in PMC: 2018 Sep 21.

Published in final edited form as: Proc SPIE Int Soc Opt Eng. 2018 Mar 12;10576:1057605. doi: 10.1117/12.2293167

Table 1:

Description and parameters used for each CNN architecture and validation group (intra- or inter-patient)

	Inter-pt. thyroid	Intra-pt. thyroid	Inter-pt. SCCa	Intra-pt. SCCa
CNN Architecture	3D-CNN	2D-CNN	3D-Inception CNN	2D-CNN
Kernel Size	3 × 3 × 11	5 × 5	Multiple	5 × 5
Learning Rate	0.005	0.005	0.005	0.005
AdaDelta ρ	0.90	0.90	0.85	0.875
AdaDelta ε	1 × 10⁸	1 × 10⁻⁸	1 × 10⁸	1 × 10⁴
No. Conv. Layers	4	4	15	4
Total Conv. Filters.	100	328	350	328
Batch Size	5	5	5	5
Dropout	0.7	0.6	0.7	0.7
Initial Neuron Bias	0.05	0.05	0.07	0.05