Computational and Mathematical Methods in Medicine / 2019 / Article / Tab 5

Research Article

Automatic Prediction of Meningioma Grade Image Based on Data Amplification and Improved Convolutional Neural Network

Table 5

Impact of improved network structure on the error rate of meningioma classification.

Network layerFeature mapConvolution kernelFilter sizeIteration rateError rate
Conv1Conv2Conv3Conv1Conv2Conv3Pool1Pool2Pool3

748165 × 55 × 54 × 42 × 22 × 22 × 20.00383.33%
7510205 × 55 × 54 × 42 × 22 × 22 × 20.000153.33%
7510205 × 55 × 52 × 24 × 43 × 32 × 20.000560.00%
7612245 × 55 × 52 × 24 × 43 × 32 × 20.000123.33%
7612245 × 55 × 54 × 42 × 22 × 22 × 20.000116.67%
7612245 × 55 × 54 × 42 × 22 × 22 × 20.0000516.67%
7816325 × 55 × 54 × 42 × 22 × 22 × 20.000126.67%
7816329 × 95 × 52 × 24 × 42 × 22 × 20.000156.67%

We are committed to sharing findings related to COVID-19 as quickly and safely as possible. Any author submitting a COVID-19 paper should notify us at help@hindawi.com to ensure their research is fast-tracked and made available on a preprint server as soon as possible. We will be providing unlimited waivers of publication charges for accepted articles related to COVID-19. Sign up here as a reviewer to help fast-track new submissions.