The paper proposes a medical image classification based on ensemble leaning.
提出了一个基于集成学习方法的医学图像分类器。
In this thesis, SVM as a new machine learning method is brought into medical image classification.
论文将支持向量机的机器学习方法引入到医学图像的分类问题。
Medical image classification plays a central role in automation of information system of hospitals.
医学图像的自动分类对于医院的信息自动化有重要的意义。
Data mining based medical image classification methods is an important component of multimedia data mining.
基于数据挖掘的医学图像分类方法研究是多媒体数据挖掘的一个重要组成部分。
This paper firstly investigates the application of support vector machines for medical image classification.
本文首次采用支持向量机方法对医学图像进行了分类研究。
Pattern classification is a kind of technology used in a lot of project fields including automatic control monitor, image recognition, troubled diagnose, supplies compound, medical diagnosis, etc.
模式分类是许多工程领域如自控监测、图像识别、故障诊断、物料配制、医疗诊断等领域广泛应用的一种关键技术。
In this paper, a level set segmentation algorithm based on Bayesian classification for medical image segmentation was proposed.
本文提出了一种结合贝叶斯分类的水平集方法用于医学图像分割。
In this paper, a level set segmentation algorithm based on Bayesian classification for medical image segmentation was proposed.
本文提出了一种结合贝叶斯分类的水平集方法用于医学图像分割。
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