Enhancing Ductal Carcinoma Classification Using Transfer Learning with 3D U-Net Models in Breast Cancer Imaging

Enhancing Ductal Carcinoma Classification Using Transfer Learning with 3D U-Net Models in Breast Cancer Imaging

Breast cancer ranks among the leading causes of death for women globally, making it imperative to swiftly and precisely detect the condition to ensure timely treatment and enhanced chances of recovery. This study focuses on transfer learning with 3D U-Net models to classify ductal carcinoma, the mos...

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Bibliographic Details
Main Authors: Saman Khalil, Uroosa Nawaz, Zubariah, Zohaib Mushtaq, Saad Arif, Muhammad Zia ur Rehman, Muhammad Farrukh Qureshi, Abdul Malik, Adham Aleid, Khalid Alhussaini
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Applied Sciences
Subjects:
ductal carcinoma
breast cancer detection
MRI
transfer learning
U-Nets
intelligent healthcare
Online Access:https://www.mdpi.com/2076-3417/13/7/4255

Internet

https://www.mdpi.com/2076-3417/13/7/4255

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