Performance optimisation of deep learning models using majority voting algorithm for brain tumour classification

Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm

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

Deep ensemble learning for Alzheimer's disease classification

(2020) Ning An et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Chest X-ray in new Coronavirus Disease 2019 (COVID-19) infection: findings and correlation with clinical outcome

(2020) Diletta Cozzi et al.   Radiologia Medica

Deep semi-supervised learning for brain tumor classification

(2020) Chenjie Ge et al.   BMC MEDICAL IMAGING

Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists

(2020) Muhammad Attique Khan et al.   Diagnostics

COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest CT Images

(2020) Hayden Gunraj et al.   Frontiers in Medicine

A Review on a Deep Learning Perspective in Brain Cancer Classification

(2019) Gopal S. Tandel et al.   Cancers

Breast cancer detection using deep convolutional neural networks and support vector machines

(2019) Dina A. Ragab et al.   PeerJ

Global, regional, and national burden of brain and other CNS cancer, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

(2019) Anoop P Patel et al.   LANCET NEUROLOGY

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

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

Deep Learning Ensemble for Hyperspectral Image Classification

(2019) Yushi Chen et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning

(2019) Awwal Muhammad Dawud et al.   Computational Intelligence and Neuroscience

Brain tumor classification using deep CNN features via transfer learning

(2019) S. Deepak et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A deep learning-based multi-model ensemble method for cancer prediction

(2018) Yawen Xiao et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Symtosis: A liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm

(2018) Mainak Biswas et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers

(2018) Md. Maniruzzaman et al.   JOURNAL OF MEDICAL SYSTEMS

Deep learning in medical imaging and radiation therapy

(2018) Berkman Sahiner et al.   MEDICAL PHYSICS

Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning

(2018) Yang Yang et al.   Frontiers in Neuroscience

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

Machine Learning for Medical Imaging

(2017) Bradley J. Erickson et al.   RADIOGRAPHICS

An automatic glioma grading method based on multi-feature extraction and fusion

(2017) Tianming Zhan et al.   TECHNOLOGY AND HEALTH CARE

Noninvasive Grading of Glioma Tumor Using Magnetic Resonance Imaging with Convolutional Neural Networks

(2017) Saed Khawaldeh et al.   Applied Sciences-Basel

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

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

Hybrid Tolerance Rough Set–Firefly based supervised feature selection for MRI brain tumor image classification

(2016) Jothi G. et al.   APPLIED SOFT COMPUTING

Diagnostic performance of texture analysis on MRI in grading cerebral gliomas

(2016) Karoline Skogen et al.   EUROPEAN JOURNAL OF RADIOLOGY

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Night-time pedestrian classification with histograms of oriented gradients-local binary patterns vectors

(2015) Patrick Hurney et al.   IET Intelligent Transport Systems

Deep learning

(2015) Yann LeCun et al.   NATURE

Computer-Aided Diagnostic System for Detection of Hashimoto Thyroiditis on Ultrasound Images From a Polish Population

(2014) U. Rajendra Acharya et al.   JOURNAL OF ULTRASOUND IN MEDICINE

Glioma: Application of Whole-Tumor Texture Analysis of Diffusion-Weighted Imaging for the Evaluation of Tumor Heterogeneity

(2014) Young Jin Ryu et al.   PLoS One

Cost-Effective and Non-Invasive Automated Benign & Malignant Thyroid Lesion Classification in 3D Contrast-Enhanced Ultrasound Using Combination of Wavelets and Textures: A Class of ThyroScan™ Algorithms

(2014) U. R. Acharya et al.   TECHNOLOGY IN CANCER RESEARCH & TREATMENT

The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

(2013) Kenneth Clark et al.   JOURNAL OF DIGITAL IMAGING

GyneScan: An Improved Online Paradigm for Screening of Ovarian Cancer via Tissue Characterization

(2013) U. Rajendra Acharya et al.   TECHNOLOGY IN CANCER RESEARCH & TREATMENT

Automatic multi-modal MR tissue classification for the assessment of response to bevacizumab in patients with glioblastoma

(2012) Gilad Liberman et al.   EUROPEAN JOURNAL OF RADIOLOGY

The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM

(2010) Stephen B. Edge et al.   ANNALS OF SURGICAL ONCOLOGY

Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme

(2009) Evangelia I. Zacharaki et al.   MAGNETIC RESONANCE IN MEDICINE