Independent evaluation of a multi-view multi-task convolutional neural network breast cancer classification model using Finnish mammography screening data

Author:

Isosalo A.ORCID,Inkinen S.I.ORCID,Turunen T.,Ipatti P.S.ORCID,Reponen J.ORCID,Nieminen M.T.ORCID

Funder

Teknologiateollisuuden 100-Vuotisjuhlasäätiö

Academy of Finland

Jane ja Aatos Erkon Säätiö

Jenny ja Antti Wihurin Rahasto

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference50 articles.

1. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Sung;CA: Cancer J. Clin.,2021

2. Mammography screening;Meltzer,2022

3. Quality Determinants of Mammography;Bassett,1994

4. How experience and training influence mammography expertise;Nodine;Academic Radiol.,1999

5. Digital radiography: A useful clinical tool for computer-aided diagnosis by quantitative analysis of radiographic images;Doi;Acta Radiol.,1993

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MammogramAnnotationTool: Markup tool for breast tissue abnormality annotation;Software Impacts;2024-03

2. The three dimensional dosimetry imaging for automated eye cancer classification using transfer learning model;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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