ConvNet Model Evaluation for Binary and Multilabel Breast Mammogram Mass Segmentation
Author:
Affiliation:
1. Dhirubhai Ambani Institute of Information and Communication Technology,Gandhinagar,Gujarat,India
2. Nirma University,Ahmedabad,Gujarat,India
3. University Petroleum and Energy Studies (UPES), Bidholi,Dehradun,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10511273/10511089/10511398.pdf?arnumber=10511398
Reference20 articles.
1. Breast Cancer Segmentation Methods: Current Status and Future Potentials
2. Computer-Aided Breast Cancer Diagnosis: Comparative Analysis of Breast Imaging Modalities and Mammogram Repositories
3. A Bottom-Up Review of Image Analysis Methods for Suspicious Region Detection in Mammograms
4. Efficient preprocessing filters and mass segmentation techniques for mammogram images
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