Applying artificial intelligence technology to assist with breast cancer diagnosis and prognosis prediction
Breast cancer remains the most diagnosed cancer in women. Advances in medical imaging modalities and technologies have greatly aided in the early detection of breast cancer and the decline of patient mortality rates. However, reading and interpreting breast images remains difficult due to the high h...
Main Authors: | Meredith A. Jones, Warid Islam, Rozwat Faiz, Xuxin Chen, Bin Zheng |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-08-01
|
Series: | Frontiers in Oncology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.980793/full |
Similar Items
-
Retrospective Review of Missed Cancer Detection and Its Mammography Findings with Artificial-Intelligence-Based, Computer-Aided Diagnosis
by: Ga Eun Park, et al.
Published: (2022-02-01) -
Diagnostic Performance of Artificial Intelligence-Based Computer-Aided Diagnosis for Breast Microcalcification on Mammography
by: Yoon Ah Do, et al.
Published: (2021-08-01) -
A review of the current state of the computer-aided diagnosis (CAD) systems for breast cancer diagnosis
by: Guo Zicheng, et al.
Published: (2022-12-01) -
The Role of Artificial Intelligence in Urology Practice
by: Hassan Homayoun, et al.
Published: (2022-01-01) -
An Automated In-Depth Feature Learning Algorithm for Breast Abnormality Prognosis and Robust Characterization from Mammography Images Using Deep Transfer Learning
by: Tariq Mahmood, et al.
Published: (2021-09-01)