Pre‐trained convolutional neural networks as feature extractors for diagnosis of breast cancer using histopathology-Reference-Cited by-同舟云学术

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Pre‐trained convolutional neural networks as feature extractors for diagnosis of breast cancer using histopathology

Published:2020-01-28 Issue:3 Volume:30 Page:577-591
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Saxena Shweta¹^ORCID,Shukla Sanyam¹,Gyanchandani Manasi¹

Affiliation:

1. Maulana Azad National Institute of Technology Bhopal Madhya Pradesh India

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22399

Reference51 articles.

1. Global Cancer in Women: Burden and Trends

2. Review article: Foundation and methodologies in computer‐aided diagnosis systems for breast cancer detection;Jalalian A;EXCLI J,2017

3. A Dataset for Breast Cancer Histopathological Image Classification

4. Histopathology image representation for autometic analysis: A state ‐ of – the ‐art review;Arevalo J;Rev Fac Med,2014

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