Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network

Author:

Singh Vivek KumarORCID,Rashwan Hatem A.,Romani Santiago,Akram Farhan,Pandey Nidhi,Sarker Md. Mostafa Kamal,Saleh Adel,Arenas Meritxell,Arquez Miguel,Puig Domenec,Torrents-Barrena Jordina

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference52 articles.

1. Segmentation of regions of interest using active contours with SPF function;Akram;Computational and Mathematical Methods in Medicine,2015

2. A fully integrated computer-aided diagnosis system for digital x-ray mammograms via deep learning detection, segmentation, and classification;Al-antari;International Journal of Medical Informatics,2018

3. Segnet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Transactions on Pattern Analysis and Machine Intelligence,2017

4. Correlation between imaging and molecular classification of breast cancers;Boisserie-Lacroix;Diagnostic and Interventional Imaging,2013

5. Closed shortest path in the original coordinates with an application to breast cancer;Cardoso;International Journal of Pattern Recognition and Artificial Intelligence,2015

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