Concepedia

A methodological approach for deep learning to distinguish between meningiomas and gliomas on canine MR-images

Tommaso Banzato, Marco Bernardini, Giunio Bruto Cherubini, Alessandro Zotti

BMC Veterinary Research · 2018 · 68 citations · 19 references

Open access

Abstract

The developed trCNN could be a reliable tool in distinguishing between different meningiomas and gliomas from MR images.

References

19

Going deeper with convolutions

Christian Szegedy, Wei Liu, Yangqing Jia et al. · 2015 · 46.2K citations

Image Classification, Deep Neural Networks, Image Analysis +15

Going Deeper with Convolutions

Christian Szegedy, Wei Liu, Yangqing Jia et al. · arXiv (Cornell University) · 2014 · 1.4K citations · Full text

Image Classification, Deep Neural Networks, Machine Vision +15

Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric

Sabri Boughorbel, Fethi Jarray, Mohammed Elanbari · PLoS ONE · 2017 · 1.2K citations · Full text

Engineering, Machine Learning, Classification Method +17

Recent automatic text summarization techniques: a survey

Mahak Gambhir, Vishal Gupta · Artificial Intelligence Review · 2016 · 726 citations

Natural Language Processing, Engineering, Information Retrieval +9

Machine Learning in Radiology: Applications Beyond Image Interpretation

Paras Lakhani, Adam Prater, R. Kent Hutson et al. · Journal of the American College of Radiology · 2017 · 246 citations

Image Analysis, Machine Learning, Medical Imaging +8