Brain tumor image pixel segmentation and detection using an aggregation of GAN models with vision transformer

Brain Tumor Classification Using Meta-Heuristic Optimized Convolutional Neural Networks

(2023) Sarah Zuhair Kurdi et al.   Journal of Personalized Medicine

A Deep Transfer Learning Based Architecture for Brain Tumor Classification Using MR Images

(2022) Bakary Badjie et al.   Information Technology and Control

Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm

(2022) Muhammad Attique Khan et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Convolutional-Neural-Network Assisted Segmentation and SVM Classification of Brain Tumor in Clinical MRI Slices

(2021) Venkatesan Rajinikanth et al.   Information Technology and Control

A Hybrid CNN-SVM Threshold Segmentation Approach for Tumor Detection and Classification of MRI Brain Images

(2021) M.O. Khairandish et al.   IRBM

Brain tumor classification using a hybrid deep autoencoder with Bayesian fuzzy clustering-based segmentation approach

(2020) P.M. Siva Raja et al.   Biocybernetics and Biomedical Engineering

Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm

(2020) Gopal S. Tandel et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Generative adversarial networks

(2020) Ian Goodfellow et al.   COMMUNICATIONS OF THE ACM

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

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

RescueNet: An unpaired GAN for brain tumor segmentation

(2019) Shubhangi Nema et al.   Biomedical Signal Processing and Control

New brain tumor classification method based on an improved version of whale optimization algorithm

(2019) Bo Yin et al.   Biomedical Signal Processing and Control

Brain tumor detection based on Convolutional Neural Network with neutrosophic expert maximum fuzzy sure entropy

(2019) Fatih Özyurt et al.   MEASUREMENT

BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model

(2019) Mesut Toğaçar et al.   MEDICAL HYPOTHESES

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

A deep learning model integrating FCNNs and CRFs for brain tumor segmentation

(2018) Xiaomei Zhao et al.   MEDICAL IMAGE ANALYSIS

Segmentation of glioma tumors in brain using deep convolutional neural network

(2018) Saddam Hussain et al.   NEUROCOMPUTING

Pathological brain detection based on AlexNet and transfer learning

(2018) Siyuan Lu et al.   Journal of Computational Science

NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique

(2017) Leonardo Rundo et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features

(2017) Spyridon Bakas et al.   Scientific Data

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

(2016) Sergio Pereira et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

(2015) Bjoern H. Menze et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C-Means clustering

(2015) Carmelo Militello et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

(2012) R. Achanta et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE