联营
棱锥(几何)
人工智能
卷积神经网络
计算机科学
深度学习
模式识别(心理学)
上下文图像分类
乳腺癌
人工神经网络
图像(数学)
癌症
机器学习
数学
医学
内科学
几何学
作者
W. Zou,Huijuan Lu,Ke Yan,Minchao Ye
标识
DOI:10.1109/itme.2019.00023
摘要
The paper employs deep learning to classify breast cancer histopathological image into benign and malignant categories. The Inception v1 convolutional neural network is mainly adopted. Spatial Pyramid Pooling and special global average pooling are added to the network to ensure that images can be imported in the original aspect ratio format. The experimental results show that the convolutional neural network performs well in breast cancer image classification, and the Global Average Pooling effect is slightly better than the Spatial Pyramid Pooling.
科研通智能强力驱动
Strongly Powered by AbleSci AI