.png){kind=icon}
返回
Brain tumor classification using deep CNN features via transfer learning
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compbiomed.2019.103345.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Brain tumor classification is an important problem in computer-aided diagnosis (CAD) for medical applications. This paper focuses on a 3-class classification problem to differentiate among glioma, meningioma and pituitary tumors, which form three prominent types of brain tumor. The proposed classification system adopts the concept of deep transfer learning and uses a pre-trained GoogLeNet to extract features from brain MRI images. Proven classifier models are integrated to classify the extracted features. The experiment follows a patient-level five-fold cross-validation process, on MRI dataset from figshare. The proposed system records a mean classification accuracy of 98%, outperforming all state-of-the-art methods. Other performance measures used in the study are the area under the curve (AUC), precision, recall, F-score and specificity. In addition, the paper addresses a practical aspect by evaluating the system with fewer training samples. The observations of the study imply that transfer learning is a useful technique when the availability of medical images is limited. The paper provides an analytical discussion on misclassifications also.
Keyword:
Brain tumor
Computer-aided diagnosis
Transfer learning
Convolutional neural network
Support vector machine
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.3
论文数:
8.3K
被引数:
3.3W
机构
引用论文
.png){kind=icon}
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches深度学习时代的肺和胰腺肿瘤表征: 新的监督和无监督学习方法
OAAI
OAAI分享收藏Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning使用卷积神经网络和多示例学习在数字乳房断层合成数据中进行质量检测
PREAI
分享收藏分享收藏Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning常规MR图像上的胶质瘤分级: 基于迁移学习的深度学习研究OAAI
OAAI分享收藏
查看更多内容