Data augmentation guided breast cancer diagnosis and prognosis using an integrated deep-generative framework based on breast tumor’s morphological information

Data augmentation guided breast cancer diagnosis and prognosis using an integrated deep-generative framework based on breast tumor’s morphological information

Breast cancer is the world’s second-largest cause of cancer mortality among women. With the progress of artificial intelligence (AI) in healthcare, the survival rate of breast cancer patients has risen in recent years due to early diagnosis and effective prognosis. However, substantial AI research n...

Full description

Bibliographic Details
Main Authors: Muhammad Sakib Khan Inan, Sohrab Hossain, Mohammed Nazim Uddin
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Synthetic tabular data
Breast cancer
Autoencoder
TabNet
GAN
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914823000138

Internet

http://www.sciencedirect.com/science/article/pii/S2352914823000138

Similar Items