Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning

Author:

Aljuaid HananORCID,Alturki Nazik,Alsubaie Najah,Cavallaro LuciaORCID,Liotta Antonio

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference35 articles.

1. WHO Position Paper on Mammography Screening;World Health Organization,2014

2. S. Ahmad, S. Ur Rehman, A. Iqbal, R. K. Farooq, A. Shahid, M. I. Ullah, Breast cancer research in Pakistan: a bibliometric analysis:, 11(3) (2021). https://journals.sagepub.com/doi/full/10.1177/2158244021104693410.1177/21582440211046934

3. Cancer treatment and survivorship statistics, 2016;Miller;CA,2016

4. Computer-aided breast cancer histopathological diagnosis: comparative analysis of three DTOCS-based features: SW-DTOCS, SW-WDTOCS and SW-3-4-DTOCS;Pollanen,2015

5. Digital image analysis in breast cancer: an example of an automated methodology and the effects of image compression;López;Stud. Health Technol. Inform.,2012

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