A Roadmap towards Breast Cancer Therapies Supported by Explainable Artificial Intelligence
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Roadmap towards Breast Cancer Therapies Supported by Explainable Artificial Intelligence
Authors
Keywords
-
Journal
Applied Sciences-Basel
Volume 11, Issue 11, Pages 4881
Publisher
MDPI AG
Online
2021-05-26
DOI
10.3390/app11114881
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Predicting of Sentinel Lymph Node Status in Breast Cancer Patients with Clinically Negative Nodes: A Validation Study
- (2021) Annarita Fanizzi et al. Cancers
- Artificial Intelligence and the Medical Physicist: Welcome to the Machine
- (2021) Michele Avanzo et al. Applied Sciences-Basel
- A Clinical Decision Support System for Predicting Invasive Breast Cancer Recurrence: Preliminary Results
- (2021) Raffaella Massafra et al. Frontiers in Oncology
- A Proposal of Quantum-Inspired Machine Learning for Medical Purposes: An Application Case
- (2021) Domenico Pomarico et al. Mathematics
- Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy
- (2021) Michele Avanzo et al. Physica Medica-European Journal of Medical Physics
- A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
- (2020) Erico Tjoa et al. IEEE Transactions on Neural Networks and Learning Systems
- Explainable artificial intelligence for breast cancer: a visual case-based reasoning approach
- (2019) Jean-Baptiste Lamy et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Gene expression assay and Watson for Oncology for optimization of treatment in ER-positive, HER2-negative breast cancer
- (2018) Yun Yeong Kim et al. PLoS One
- Role of Big Data and Machine Learning in Diagnostic Decision Support in Radiology
- (2018) Tanveer Syeda-Mahmood Journal of the American College of Radiology
- Limits to Personalized Cancer Medicine
- (2016) Ian F. Tannock et al. NEW ENGLAND JOURNAL OF MEDICINE
- Tailoring therapies—improving the management of early breast cancer: St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2015
- (2015) A. S. Coates et al. ANNALS OF ONCOLOGY
- Molecular and Cellular Heterogeneity in Breast Cancer
- (2013) Ashley G. Rivenbark et al. AMERICAN JOURNAL OF PATHOLOGY
- Distinguishing variance embedding
- (2009) Wang Qinggang et al. IMAGE AND VISION COMPUTING
- Developing Prognostic Systems of Cancer Patients by Ensemble Clustering
- (2009) Dechang Chen et al. JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY
- Combining local and global information for nonlinear dimensionality reduction
- (2009) Qinggang Wang et al. NEUROCOMPUTING
- A Personalized Approach to Cancer Treatment: How Biomarkers Can Help
- (2008) M. J. Duffy et al. CLINICAL CHEMISTRY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now