Breast Cancer Diagnosis: A Comprehensive Exploration of Explainable Artificial Intelligence (XAI) Techniques
Fuente:
arXiv
Saved in:
| Main Authors: | Bai, Samita, Nasir, Sidra, Khan, Rizwan Ahmed, Meyer, Alexandre, Konik, Hubert |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI
by: Ahmed, Maryam, et al.
Published: (2024)
by: Ahmed, Maryam, et al.
Published: (2024)
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond
by: Nasir, Sidra, et al.
Published: (2023)
by: Nasir, Sidra, et al.
Published: (2023)
A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement
by: Nasir, Sidra, et al.
Published: (2024)
by: Nasir, Sidra, et al.
Published: (2024)
Explainable Artificial Intelligence Techniques for Accurate Fault Detection and Diagnosis: A Review
by: Maged, Ahmed, et al.
Published: (2024)
by: Maged, Ahmed, et al.
Published: (2024)
ArrhythmiaVision: Resource-Conscious Deep Learning Models with Visual Explanations for ECG Arrhythmia Classification
by: Baig, Zuraiz, et al.
Published: (2025)
by: Baig, Zuraiz, et al.
Published: (2025)
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective
by: Xiong, Haoyi, et al.
Published: (2024)
by: Xiong, Haoyi, et al.
Published: (2024)
PSO-XAI: A PSO-Enhanced Explainable AI Framework for Reliable Breast Cancer Detection
by: Raquib, Mirza, et al.
Published: (2025)
by: Raquib, Mirza, et al.
Published: (2025)
Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey
by: Kok, Ibrahim, et al.
Published: (2022)
by: Kok, Ibrahim, et al.
Published: (2022)
Explainable Artificial Intelligence and Multicollinearity : A Mini Review of Current Approaches
by: Salih, Ahmed M
Published: (2024)
by: Salih, Ahmed M
Published: (2024)
Explainable Artificial Intelligent (XAI) for Predicting Asphalt Concrete Stiffness and Rutting Resistance: Integrating Bailey's Aggregate Gradation Method
by: Kongkitkul, Warat, et al.
Published: (2024)
by: Kongkitkul, Warat, et al.
Published: (2024)
Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability
by: Abdullakutty, Faseela, et al.
Published: (2024)
by: Abdullakutty, Faseela, et al.
Published: (2024)
Digital Twin-Assisted Explainable AI for Robust Beam Prediction in mmWave MIMO Systems
by: Khan, Nasir, et al.
Published: (2025)
by: Khan, Nasir, et al.
Published: (2025)
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME
by: Salih, Ahmed, et al.
Published: (2023)
by: Salih, Ahmed, et al.
Published: (2023)
A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting
by: Arsenault, Pierre-Daniel, et al.
Published: (2024)
by: Arsenault, Pierre-Daniel, et al.
Published: (2024)
TCAR-Gen: Temporal Graph Retrieval with Evidence Fusion for Knowledge-Grounded Generation
by: Nasir, Sidra, et al.
Published: (2026)
by: Nasir, Sidra, et al.
Published: (2026)
XAI-Units: Benchmarking Explainability Methods with Unit Tests
by: Lee, Jun Rui, et al.
Published: (2025)
by: Lee, Jun Rui, et al.
Published: (2025)
Explainable Artificial Intelligence Techniques for Software Development Lifecycle: A Phase-specific Survey
by: Arora, Lakshit, et al.
Published: (2025)
by: Arora, Lakshit, et al.
Published: (2025)
A Diagnosis and Treatment of Liver Diseases: Integrating Batch Processing, Rule-Based Event Detection and Explainable Artificial Intelligence
by: Chandra, Ritesh, et al.
Published: (2023)
by: Chandra, Ritesh, et al.
Published: (2023)
Uncertainty Gating for Cost-Aware Explainable Artificial Intelligence
by: Mikriukov, Georgii, et al.
Published: (2026)
by: Mikriukov, Georgii, et al.
Published: (2026)
Concept-Based Explainable Artificial Intelligence: Metrics and Benchmarks
by: Aysel, Halil Ibrahim, et al.
Published: (2025)
by: Aysel, Halil Ibrahim, et al.
Published: (2025)
An Explainable Machine Learning Framework for the Accurate Diagnosis of Ovarian Cancer
by: Newaz, Asif, et al.
Published: (2023)
by: Newaz, Asif, et al.
Published: (2023)
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
by: Mersha, Melkamu, et al.
Published: (2024)
by: Mersha, Melkamu, et al.
Published: (2024)
Explainable Graph Neural Networks for Interbank Contagion Surveillance: A Regulatory-Aligned Framework for the U.S. Banking Sector
by: Uddin, Mohammad Nasir
Published: (2026)
by: Uddin, Mohammad Nasir
Published: (2026)
Comprehensive Overview of Artificial Intelligence Applications in Modern Industries
by: Weng, Yijie, et al.
Published: (2024)
by: Weng, Yijie, et al.
Published: (2024)
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
by: Lopez-Ramos, Luis M., et al.
Published: (2024)
by: Lopez-Ramos, Luis M., et al.
Published: (2024)
From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence
by: Wang, Tianyang, et al.
Published: (2025)
by: Wang, Tianyang, et al.
Published: (2025)
FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment
by: Chiang, Sophie, et al.
Published: (2026)
by: Chiang, Sophie, et al.
Published: (2026)
Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI
by: Paraschou, Eva, et al.
Published: (2025)
by: Paraschou, Eva, et al.
Published: (2025)
Visual Analytics for Explainable and Trustworthy Artificial Intelligence
by: Chatzimparmpas, Angelos
Published: (2025)
by: Chatzimparmpas, Angelos
Published: (2025)
Explainable AI-aided Feature Selection and Model Reduction for DRL-based V2X Resource Allocation
by: Khan, Nasir, et al.
Published: (2025)
by: Khan, Nasir, et al.
Published: (2025)
NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques
by: Hryniewska-Guzik, Weronika, et al.
Published: (2024)
by: Hryniewska-Guzik, Weronika, et al.
Published: (2024)
Self-Emotion-Mediated Exploration in Artificial Intelligence Mirrors: Findings from Cognitive Psychology
by: Assunção, Gustavo, et al.
Published: (2023)
by: Assunção, Gustavo, et al.
Published: (2023)
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science
by: Bommer, Philine, et al.
Published: (2023)
by: Bommer, Philine, et al.
Published: (2023)
Towards Trustworthy Keylogger detection: A Comprehensive Analysis of Ensemble Techniques and Feature Selections through Explainable AI
by: Mahmud, Monirul Islam
Published: (2025)
by: Mahmud, Monirul Islam
Published: (2025)
Artificial Intelligence-Driven Network-on-Chip Design Space Exploration: Neural Network Architectures for Design
by: N, Amogh Anshu, et al.
Published: (2025)
by: N, Amogh Anshu, et al.
Published: (2025)
Uncertainty Quantification as a Principled Foundation for Explainable Artificial Intelligence: A Case Study of Counterfactual Explanations
by: Sokol, Kacper, et al.
Published: (2025)
by: Sokol, Kacper, et al.
Published: (2025)
Explanations as Bias Detectors: A Critical Study of Local Post-hoc XAI Methods for Fairness Exploration
by: Papanikou, Vasiliki, et al.
Published: (2025)
by: Papanikou, Vasiliki, et al.
Published: (2025)
Deeply Explainable Artificial Neural Network
by: Zucker, David
Published: (2025)
by: Zucker, David
Published: (2025)
Multi-Stage Knowledge-Distilled VGAE and GAT for Robust Controller-Area-Network Intrusion Detection
by: Frenken, Robert, et al.
Published: (2025)
by: Frenken, Robert, et al.
Published: (2025)
KD-GAT: Combining Knowledge Distillation and Graph Attention Transformer for a Controller Area Network Intrusion Detection System
by: Frenken, Robert, et al.
Published: (2025)
by: Frenken, Robert, et al.
Published: (2025)
Similar Items
-
Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI
by: Ahmed, Maryam, et al.
Published: (2024) -
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond
by: Nasir, Sidra, et al.
Published: (2023) -
A Comprehensive Framework for Reliable Legal AI: Combining Specialized Expert Systems and Adaptive Refinement
by: Nasir, Sidra, et al.
Published: (2024) -
Explainable Artificial Intelligence Techniques for Accurate Fault Detection and Diagnosis: A Review
by: Maged, Ahmed, et al.
Published: (2024) -
ArrhythmiaVision: Resource-Conscious Deep Learning Models with Visual Explanations for ECG Arrhythmia Classification
by: Baig, Zuraiz, et al.
Published: (2025)