Breast Cancer Histopathology Image Classification Using Ensemble Feature Set

Author:

Raj Anakha M1,Nair Lekha S1

Affiliation:

1. Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Amritapuri,India

Publisher

IEEE

Reference19 articles.

1. Cascaded ensemble of convolutional neural networks and handcrafted features for mitosis detection;wang;Medical Imaging 2014 Digital Pathology,2014

2. A review on neural network and its implementation on breast cancer detection;jayaraj;2016 International Conference on Communication and Signal Processing (ICCSP),2016

3. Efficient deep learning model for mitosis detection using breast histopathology images

4. Artificial Intelligence-Based Mitosis Detection in Breast Cancer Histopathology Images Using Faster R-CNN and Deep CNNs

5. Two-phase deep convolutional neural network for reducing class skewness in histopathological images based breast cancer detection

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3