Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm-Reference-Cited by-同舟云学术

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Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm

Published:2018-01-30 Issue:3 Volume:63 Page:035020
ISSN:1361-6560
Container-title:Physics in Medicine & Biology
language:
Short-container-title:Phys. Med. Biol.

Author:

Heidari Morteza,Khuzani Abolfazl Zargari,Hollingsworth Alan B,Danala Gopichandh,Mirniaharikandehei Seyedehnafiseh,Qiu Yuchen,Liu Hong,Zheng Bin

Funder

National Cancer Institute, National Institutes of Health, USA

Publisher

IOP Publishing

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://iopscience.iop.org/article/10.1088/1361-6560/aaa1ca/pdf

Reference32 articles.

1. Applying a new quantitative global breast MRI feature analysis scheme to assess tumor response to chemotherapy

2. Assessing Women at High Risk of Breast Cancer: A Review of Risk Assessment Models

3. More Mammography Muddle: Emotions, Politics, Science, Costs, and Polarization

4. Breast Imaging Reporting and Data System

5. Risk-Based Mammography Screening: An Effort to Maximize the Benefits and Minimize the Harms

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