An enhanced framework for identifying brain tumor using discrete wavelet transform, deep convolutional network, and feature fusion‐based machine learning techniques

Deep learning in food category recognition

(2023) Yudong Zhang et al.   Information Fusion

Covid-19 diagnosis by WE-SAJ

(2022) Wei Wang et al.   Systems Science & Control Engineering

An improved framework for brain tumor analysis using MRI based on YOLOv2 and convolutional neural network

(2021) Muhammad Irfan Sharif et al.   Complex & Intelligent Systems

Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network

(2021) Modupe Odusami et al.   Diagnostics

An Efficient Methodology for Brain MRI Classification Based on DWT and Convolutional Neural Network

(2021) Muhammad Fayaz et al.   SENSORS

Cascading handcrafted features and Convolutional Neural Network for IoT-enabled brain tumor segmentation

(2020) Hikmat Khan et al.   COMPUTER COMMUNICATIONS

Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method

(2020) Mesut Toğaçar et al.   EXPERT SYSTEMS WITH APPLICATIONS

Detection of tumors on brain MRI images using the hybrid convolutional neural network architecture

(2020) Ahmet Çinar et al.   MEDICAL HYPOTHESES

An enhanced deep learning approach for brain cancer MRI images classification using residual networks

(2019) Sarah Ali Abdelaziz Ismael et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Convolutional neural networks for multi-class brain disease detection using MRI images

(2019) Muhammed Talo et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

Brain tumor classification based on DWT fusion of MRI sequences using convolutional neural network

(2019) Javaria Amin et al.   PATTERN RECOGNITION LETTERS

A mix-pooling CNN architecture with FCRF for brain tumor segmentation

(2018) Jie Chang et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

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

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

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

(2017) Konstantinos Kamnitsas et al.   MEDICAL IMAGE ANALYSIS

Smart pathological brain detection by synthetic minority oversampling technique, extreme learning machine, and Jaya algorithm

(2017) Yu-Dong Zhang et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A deep convolutional neural network-based automatic delineation strategy for multiple brain metastases stereotactic radiosurgery

(2017) Yan Liu et al.   PLoS One

Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

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

Advances in Magnetic Resonance Imaging and Positron Emission Tomography Imaging for Grading and Molecular Characterization of Glioma

(2015) Caroline Chung et al.   SEMINARS IN RADIATION ONCOLOGY

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

Segmentation, Feature Extraction, and Multiclass Brain Tumor Classification

(2013) Jainy Sachdeva et al.   JOURNAL OF DIGITAL IMAGING

Computer-aided diagnosis system for tissue characterization of brain tumor on magnetic resonance images

(2013) Megha. P. Arakeri et al.   Signal Image and Video Processing

A hybrid method for MRI brain image classification

(2011) Yudong Zhang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Hybrid intelligent techniques for MRI brain images classification

(2009) El-Sayed Ahmed El-Dahshan et al.   DIGITAL SIGNAL PROCESSING

Wavelet decomposition tree selection for palm and face authentication

(2007) Loris Nanni et al.   PATTERN RECOGNITION LETTERS