Effectiveness of Federated Learning and CNN Ensemble Architectures for Identifying Brain Tumors Using MRI Images

Dynamic-Fusion-Based Federated Learning for COVID-19 Detection

(2021) Weishan Zhang et al.   IEEE Internet of Things Journal

Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture

(2020) Amjad Rehman et al.   MICROSCOPY RESEARCH AND TECHNIQUE

Federated learning improves site performance in multicenter deep learning without data sharing

(2020) Karthik V Sarma et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT

(2020) Weishan Zhang et al.   IEEE Internet of Things Journal

Refining Parkinson’s neurological disorder identification through deep transfer learning

(2019) Amina Naseer et al.   NEURAL COMPUTING & APPLICATIONS

A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning

(2019) Arshia Rehman et al.   CIRCUITS SYSTEMS AND SIGNAL PROCESSING

Brain Tumor Segmentation and Survival Prediction Using Multimodal MRI Scans With Deep Learning

(2019) Li Sun et al.   Frontiers in Neuroscience

A fully automated pipeline for mining abdominal aortic aneurysm using image segmentation

(2019) Fabien Lareyre et al.   Scientific Reports

Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation

(2019) Jose Dolz et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Brain Tumors

(2018) J. Ricardo McFaline-Figueroa et al.   AMERICAN JOURNAL OF MEDICINE

Big data analysis for brain tumor detection: Deep convolutional neural networks

(2018) Javeria Amin et al.   Future Generation Computer Systems-The International Journal of eScience

Segmentation of glioma tumors in brain using deep convolutional neural network

(2018) Saddam Hussain et al.   NEUROCOMPUTING

MRI segmentation fusion for brain tumor detection

(2017) Iván Cabria et al.   Information Fusion

Brain tumor segmentation with Deep Neural Networks

(2017) Mohammad Havaei et al.   MEDICAL IMAGE ANALYSIS

Multiscale CNNs for Brain Tumor Segmentation and Diagnosis

(2016) Liya Zhao et al.   Computational and Mathematical Methods in Medicine

A non-invasive methodology for the grade identification of astrocytoma using image processing and artificial intelligence techniques

(2016) M. Monica Subashini et al.   EXPERT SYSTEMS WITH APPLICATIONS

The multidimensional burden of informal caregivers in primary malignant brain tumor

(2016) Eléonore Bayen et al.   SUPPORTIVE CARE IN CANCER

A structural and functional magnetic resonance imaging dataset of brain tumour patients

(2016) Cyril R. Pernet et al.   Scientific Data

Metabolic therapy: A new paradigm for managing malignant brain cancer

(2015) Thomas N. Seyfried et al.   CANCER LETTERS

Brain tumors detection and segmentation in MR images: Gabor wavelet vs. statistical features

(2015) Nooshin Nabizadeh et al.   COMPUTERS & ELECTRICAL ENGINEERING

The symptom burden of primary brain tumors: evidence for a core set of tumor- and treatment-related symptoms

(2015) Terri S. Armstrong et al.   NEURO-ONCOLOGY

Data preprocessing techniques for classification without discrimination

(2011) Faisal Kamiran et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Brain tumor epidemiology: Consensus from the Brain Tumor Epidemiology Consortium

(2010) Melissa L. Bondy et al.   CANCER