MRI-based brain tumor detection using convolutional deep learning methods and chosen machine learning techniques

Efficient Deep Neural Networks for Classification of Alzheimer’s Disease and Mild Cognitive Impairment from Scalp EEG Recordings

(2022) Saman Fouladi et al.   Cognitive Computation

Efficient deep neural networks for classification of COVID-19 based on CT images: Virtualization via software defined radio

(2021) Saman Fouladi et al.   COMPUTER COMMUNICATIONS

Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRI

(2021) Ji Young Lee et al.   EUROPEAN RADIOLOGY

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

(2020) Milica M. Badža et al.   Applied Sciences-Basel

Exposure to lead increases the risk of meningioma and brain cancer: A meta-analysis

(2020) Yu Meng et al.   JOURNAL OF TRACE ELEMENTS IN MEDICINE AND BIOLOGY

Deep learning based enhanced tumor segmentation approach for MR brain images

(2019) Mamta Mittal et al.   APPLIED SOFT COMPUTING

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

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

Deep learning-based cardiovascular image diagnosis: A promising challenge

(2019) Kelvin K.L. Wong et al.   Future Generation Computer Systems-The International Journal of eScience

Brain Tumors

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

Segmentation of glioma tumors in brain using deep convolutional neural network

(2018) Saddam Hussain et al.   NEUROCOMPUTING

Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks

(2018) Mahmoud Khaled Abd-Ellah et al.   EURASIP Journal on Image and Video Processing

Detection of Brain Tumor based on Features Fusion and Machine Learning

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

Deep Convolutional Neural Network for Inverse Problems in Imaging

(2017) Kyong Hwan Jin et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A data mining study on combustion dynamics and NOx emission of a swirl stabilised combustor with secondary fuel injection

(2017) Rouzbeh Riazi et al.   International Journal of Heavy Vehicle Systems

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

Artificial neural networks for automatic segmentation and identification of nasopharyngeal carcinoma

(2017) Mazin Abed Mohammed et al.   Journal of Computational Science

An intelligent lung cancer diagnosis system using cuckoo search optimization and support vector machine classifier

(2017) M. Prabukumar et al.   Journal of Ambient Intelligence and Humanized Computing

Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm

(2014) El-Sayed A. El-Dahshan et al.   EXPERT SYSTEMS WITH APPLICATIONS