A review of explainable AI techniques and their evaluation in mammography for breast cancer screening
<p>Explainable AI (XAI) methods are gaining prominence in medical imaging, addressing the critical need for transparency and trust in AI-driven diagnostic tools. Mammography, as the cornerstone of early breast cancer detection, holds immense potential for improving outcomes when integrated wit...
Saved in:
| Main Author: | Noora Shifa (21392996) (author) |
|---|---|
| Other Authors: | Moutaz Saleh (14151402) (author), Younes Akbari (16303286) (author), Sumaya Al Maadeed (21392999) (author) |
| Published: |
2025
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Transforming Dermatopathology With AI: Addressing Bias, Enhancing Interpretability, and Shaping Future Diagnostics
by: Diala Ra'Ed Kamal Kakish (22330627)
Published: (2025) -
Tamp-X: Attacking explainable natural language classifiers through tampered activations
by: Hassan Ali (3348749)
Published: (2022) -
Exploring the Impact of Explainable Artificial Intelligence on Decision-making in Healthcare
by: MOHAMMAD, AHMAD HASAN
Published: (2023) -
Diagnostic test accuracy of AI-assisted mammography for breast imaging: a narrative review
by: Daksh Dave (17949239)
Published: (2025) -
Plant Leaf Disease Detection Using Ensemble Learning and Explainable AI
by: Ammar Oad (21324182)
Published: (2024)