BreastNet18: A High Accuracy Fine-Tuned VGG16 Model Evaluated Using Ablation Study for Diagnosing Breast Cancer from Enhanced Mammography Images

BreastNet18: A High Accuracy Fine-Tuned VGG16 Model Evaluated Using Ablation Study for Diagnosing Breast Cancer from Enhanced Mammography Images

Background: Identification and treatment of breast cancer at an early stage can reduce mortality. Currently, mammography is the most widely used effective imaging technique in breast cancer detection. However, an erroneous mammogram based interpretation may result in false diagnosis rate, as disting...

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Bibliographic Details
Main Authors: Sidratul Montaha, Sami Azam, Abul Kalam Muhammad Rakibul Haque Rafid, Pronab Ghosh, Md. Zahid Hasan, Mirjam Jonkman, Friso De Boer
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Biology
Subjects:
mammograms
image preprocessing
fine-tuned VGG16
deep learning
breast cancer classification
data augmentation
Online Access:https://www.mdpi.com/2079-7737/10/12/1347

Internet

https://www.mdpi.com/2079-7737/10/12/1347

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