Classification of Brain Tumors from MRI Images Using a Convolutional Neural Network

Convolution neural network joint with mixture of extreme learning machines for feature extraction and classification of accident images

(2019) Ali Pashaei et al.   Journal of Real-Time Image Processing

A Novel Method for Classifying Liver and Brain Tumors Using Convolutional Neural Networks, Discrete Wavelet Transform and Long Short-Term Memory Networks

(2019) Kutlu et al.   SENSORS

Brain tumor classification for MR images using transfer learning and fine-tuning

(2019) Zar Nawab Khan Swati et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Fully automatic catheter segmentation in MRI with 3D convolutional neural networks: application to MRI-guided gynecologic brachytherapy

(2019) Paolo Zaffino et al.   PHYSICS IN MEDICINE AND BIOLOGY

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

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

Toward Improving Safety in Neurosurgery with an Active Handheld Instrument

(2018) Sara Moccia et al.   ANNALS OF BIOMEDICAL ENGINEERING

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

Multi-grade brain tumor classification using deep CNN with extensive data augmentation

(2018) Muhammad Sajjad et al.   Journal of Computational Science

Detection of Brain Tumor based on Features Fusion and Machine Learning

(2018) Javeria Amin et al.   Journal of Ambient Intelligence and Humanized Computing

Magnetic resonance imaging-based brain tumor grades classification and grading via convolutional neural networks and genetic algorithms

(2018) Amin Kabir Anaraki et al.   Biocybernetics and Biomedical Engineering

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

(2017) Zeynettin Akkus et al.   JOURNAL OF DIGITAL IMAGING

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Brain tumor classification from multi-modality MRI using wavelets and machine learning

(2017) Khalid Usman et al.   PATTERN ANALYSIS AND APPLICATIONS

Using and understanding cross-validation strategies. Perspectives on Saeb et al.

(2017) Max A Little et al.   GigaScience

The need to approximate the use-case in clinical machine learning

(2017) Sohrab Saeb et al.   GigaScience

The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary

(2016) David N. Louis et al.   ACTA NEUROPATHOLOGICA

Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation

(2015) Tzu-Tsung Wong   PATTERN RECOGNITION

Enhanced Performance of Brain Tumor Classification via Tumor Region Augmentation and Partition

(2015) Jun Cheng et al.   PLoS One