Incorporating a Novel Dual Transfer Learning Approach for Medical Images
Recently, transfer learning approaches appeared to reduce the need for many classified medical images. However, these approaches still contain some limitations due to the mismatch of the domain between the source domain and the target domain. Therefore, this study aims to propose a novel approach, c...
Main Authors: | Abdulrahman Abbas Mukhlif, Belal Al-Khateeb, Mazin Abed Mohammed |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/2/570 |
Similar Items
-
An extensive review of state-of-the-art transfer learning techniques used in medical imaging: Open issues and challenges
by: Mukhlif Abdulrahman Abbas, et al.
Published: (2022-09-01) -
Classification of breast cancer images using new transfer learning techniques
by: Abdulrahman Abbas Mukhlif, et al.
Published: (2023-01-01) -
Accurate Evaluation of Feature Contributions for Sentinel Lymph Node Status Classification in Breast Cancer
by: Angela Lombardi, et al.
Published: (2022-07-01) -
StyleGANs and Transfer Learning for Generating Synthetic Images in Industrial Applications
by: Harold Achicanoy, et al.
Published: (2021-08-01) -
Efficient Fine Tuning for Fashion Object Detection
by: Benjiang Ma, et al.
Published: (2023-07-01)