Explainable Artificial Intelligence for Human-Machine Interaction in Brain Tumor Localization
出版年份 2021 全文链接
标题
Explainable Artificial Intelligence for Human-Machine Interaction in Brain Tumor Localization
作者
关键词
-
出版物
Journal of Personalized Medicine
Volume 11, Issue 11, Pages 1213
出版商
MDPI AG
发表日期
2021-11-17
DOI
10.3390/jpm11111213
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Survival prediction of patients suffering from glioblastoma based on two-branch DenseNet using multi-channel features
- (2021) Xue Fu et al. International Journal of Computer Assisted Radiology and Surgery
- Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imaging
- (2021) Yunyan Zhang et al. JOURNAL OF NEUROSCIENCE METHODS
- Visual interpretability in 3D brain tumor segmentation network
- (2021) Hira Saleem et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review
- (2021) Anna Markella Antoniadi et al. Applied Sciences-Basel
- Deep learning in rare disease. Detection of tubers in tuberous sclerosis complex
- (2020) Iván Sánchez Fernández et al. PLoS One
- Automatic prostate and prostate zones segmentation of magnetic resonance images using DenseNet-like U-net
- (2020) Nader Aldoj et al. Scientific Reports
- A Convolutional Neural Network to Perform Object Detection and Identification in Visual Large-Scale Data
- (2020) Riadh Ayachi et al. Big Data
- Explainable AI: A Review of Machine Learning Interpretability Methods
- (2020) Pantelis Linardatos et al. Entropy
- NSCR-Based DenseNet for Lung Tumor Recognition Using Chest CT Image
- (2020) Zhou Tao et al. Biomed Research International
- Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey
- (2020) Khan Muhammad et al. IEEE Transactions on Neural Networks and Learning Systems
- Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features
- (2019) Clinton J. Wang et al. EUROPEAN RADIOLOGY
- Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data
- (2019) Taeho Jo et al. Frontiers in Aging Neuroscience
- Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
- (2019) Ramprasaath R. Selvaraju et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation
- (2019) Jean-Marc Fellous et al. Frontiers in Neuroscience
- Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation
- (2018) Sérgio Pereira et al. MEDICAL IMAGE ANALYSIS
- The Direction of Tumour Growth in Glioblastoma Patients
- (2018) Morteza Esmaeili et al. Scientific Reports
- High-performance medicine: the convergence of human and artificial intelligence
- (2018) Eric J. Topol NATURE MEDICINE
- Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas
- (2015) NEW ENGLAND JOURNAL OF MEDICINE
- The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository
- (2013) Kenneth Clark et al. JOURNAL OF DIGITAL IMAGING
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