Big data analysis for brain tumor detection: Deep convolutional neural networks

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Brain tumor segmentation with Deep Neural Networks

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Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images

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Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition

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Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks

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A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations

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A distinctive approach in brain tumor detection and classification using MRI

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A comparative evaluation of outlier detection algorithms: Experiments and analyses

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Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization

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Deep neural networks for anatomical brain segmentation

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Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks

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Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008

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Entropy based segmentation of tumor from brain MR images – a study with teaching learning based optimization

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Brain Tumor Segmentation Based on Local Independent Projection-Based Classification

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A Generative Model for Brain Tumor Segmentation in Multi-Modal Images

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Detection of brain tumor in 3D MRI images using local binary patterns and histogram orientation gradient

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Robust whole-brain segmentation: Application to traumatic brain injury

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Extra Tree forests for sub-acute ischemic stroke lesion segmentation in MR sequences

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Brain tumor detection and segmentation in a CRF (conditional random fields) framework with pixel-pairwise affinity and superpixel-level features

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An Ensemble of 2D Convolutional Neural Networks for Tumor Segmentation

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Segmentation and Analysis of Brain Tumor Using Tsallis Entropy and Regularised Level Set

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Quantitative CT Improves Outcome Prediction in Acute Traumatic Brain Injury

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Medical Image Computing and Computer Assisted Intervention − MICCAI 2017

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Beyond the Lesion: Neuroimaging Foundations For Post-Stroke Recovery

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Automatic Ischemic Stroke Lesion Segmentation in Multi-spectral MRI Images Using Random Forests Classifier

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Segmenting the Ischemic Penumbra: A Decision Forest Approach with Automatic Threshold Finding

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ISLES Challenge 2015: Automated Model-Based Segmentation of Ischemic Stroke in MR Images

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

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FastSurfer - A fast and accurate deep learning based neuroimaging pipeline

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Brain tumor detection and classification using machine learning: a comprehensive survey

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Brain tumor detection using fusion of hand crafted and deep learning features

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A Deep Analysis of Brain Tumor Detection from MR Images Using Deep Learning Networks

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Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images

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Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM

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A decision support system for multimodal brain tumor classification using deep learning

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Brain tumor detection using statistical and machine learning method

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VGG-SCNet: A VGG Net-Based Deep Learning Framework for Brain Tumor Detection on MRI Images

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Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor

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

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Brain Tumor Identification and Classification of MRI Images Using Deep Learning Techniques

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An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor

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Automated Brain Tumor Segmentation and Classification in MRI Using YOLO-Based Deep Learning

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Brain tumor detection: a long short-term memory (LSTM)-based learning model

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Detection of Brain Tumor based on Features Fusion and Machine Learning

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Brain tumor detection and classification: A framework of marker‐based watershed algorithm and multilevel priority features selection

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Brain Tumor Detection by Using Stacked Autoencoders in Deep Learning

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Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection

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A modified deep convolutional neural network for abnormal brain image classification

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Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images

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Detection and analysis of COVID-19 in medical images using deep learning techniques

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Brain tumor segmentation and classification by improved binomial thresholding and multi-features selection

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A survey on brain tumor detection techniques for MR images

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Automated Segmentation of Brain Tumor MRI Images Using Deep Learning

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A Customized VGG19 Network with Concatenation of Deep and Handcrafted Features for Brain Tumor Detection

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Developed Newton-Raphson based deep features selection framework for skin lesion recognition

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Lungs cancer classification from CT images: An integrated design of contrast based classical features fusion and selection

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A new approach for brain tumor segmentation and classification based on score level fusion using transfer learning

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A novel Swin transformer approach utilizing residual multi-layer perceptron for diagnosing brain tumors in MRI images

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Quantum Machine Learning Architecture for COVID-19 Classification Based on Synthetic Data Generation Using Conditional Adversarial Neural Network

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Brain tumor detection based on extreme learning

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Effectiveness of Federated Learning and CNN Ensemble Architectures for Identifying Brain Tumors Using MRI Images

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A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier

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Lightweight EfficientNetB3 Model Based on Depthwise Separable Convolutions for Enhancing Classification of Leukemia White Blood Cell Images

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A reliable framework for accurate brain image examination and treatment planning based on early diagnosis support for clinicians

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A novel enhanced softmax loss function for brain tumour detection using deep learning

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Machine learning applications to neuroimaging for glioma detection and classification: An artificial intelligence augmented systematic review

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

Sharif, M. I., Li, J., Amin, J., & Sharif, A. (2021) · Complex & Intelligent Systems · doi:10.1007/s40747-021-00310-3 · Cited by 108 · see citing works

Brain Tumor Detection using MRI Images and Convolutional Neural Network

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A deep convolutional neural network based computer aided diagnosis system for the prediction of Alzheimer's disease in MRI images

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A Comprehensive Analysis of Recent Deep and Federated-Learning-Based Methodologies for Brain Tumor Diagnosis

Naeem, A., Anees, T., Naqvi, R. A., & Loh, W.-K. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12020275 · Cited by 103 · see citing works

A deep network designed for segmentation and classification of leukemia using fusion of the transfer learning models

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Computational Framework of Inverted Fuzzy C-Means and Quantum Convolutional Neural Network Towards Accurate Detection of Ovarian Tumors

Kodipalli, A., Fernandes, S. L., Dasar, S. K., & Ismail, T. (2023) · International Journal of E-Health and Medical Communications · doi:10.4018/ijehmc.321149 · Cited by 95 · see citing works

Epileptic seizure detection and prediction using stacked bidirectional long short term memory

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Multi-class disease detection using deep learning and human brain medical imaging

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Entropy‐controlled deep features selection framework for grape leaf diseases recognition

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HOG transformation based feature extraction framework in modified Resnet50 model for brain tumor detection

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Convolutional neural network with batch normalization for glioma and stroke lesion detection using MRI

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Survey on brain tumor segmentation and feature extraction of MR images

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Brain Tumor Detection and Classification on MR Images by a Deep Wavelet Auto-Encoder Model

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Deep Convolutional Neural Networks Model-based Brain Tumor Detection in Brain MRI Images

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Brain Tumor Classification: Feature Fusion

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A review on federated learning towards image processing

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Stomach Deformities Recognition Using Rank-Based Deep Features Selection

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A comprehensive review on multi-organs tumor detection based on machine learning

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