Brain Tumour Segmentation based on Extremely Randomized Forest with high-level features

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

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Brain Tumor Detection and Segmentation in MR Images Using Deep Learning

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Automatic Semantic Segmentation of Brain Gliomas from MRI Images Using a Deep Cascaded Neural Network

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Segmenting brain tumors from FLAIR MRI using fully convolutional neural networks

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Overview of Multi-Modal Brain Tumor MR Image Segmentation

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MRI Brain Tumor Segmentation and Patient Survival Prediction Using Random Forests and Fully Convolutional Networks

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Brain tumor segmentation in multimodal MRI via pixel-level and feature-level image fusion

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Analysis of Brain MRI Images Using Improved CornerNet Approach

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Automated Brain Tumor Segmentation Based on Multi-Planar Superpixel Level Features Extracted From 3D MR Images

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Next-Generation Automation in Neuro-Oncology: Advanced Neural Networks for MRI-Based Brain Tumor Segmentation and Classification

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Segmenting Brain Tumors from MRI Using Cascaded Multi-modal U-Nets

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A Deep Convolutional Neural Network Learning Transfer to SVM-Based Segmentation Method for Brain Tumor

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An intelligent LinkNet-34 model with EfficientNetB7 encoder for semantic segmentation of brain tumor

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Brain Tumor Segmentation in MRI Scans Using Deeply-Supervised Neural Networks

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Brain Tumor Segmention Based on Dilated Convolution Refine Networks

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Lightweight U-Nets for Brain Tumor Segmentation

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Multi-Class Breast Cancer Histopathological Image Classification Using Multi-Scale Pooled Image Feature Representation (MPIFR) and One-Versus-One Support Vector Machines

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Brain Tumor Segmentation Based on Deep Learning

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Automated segmentation of brain tumour images using deep learning-based model VGG19 and ResNet 101

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Combined Features in Region of Interest for Brain Tumor Segmentation

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Applications of Swarm Intelligent and Deep Learning Algorithms for Image-Based Cancer Recognition

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Turnaround time prediction for clinical chemistry samples using machine learning

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Estimation of Fractal Dimension and Segmentation of Brain Tumor with Parallel Features Aggregation Network

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Detection and Segmentation of Brain Tumors from MRI Using U-Nets

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An Ensemble Framework for Improving Brain Stroke Prediction Performance

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Breast Cancer Tumor Classification Using a Bag of Deep Multi-Resolution Convolutional Features

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Proportion Estimation and Multi-Class Classification of Abnormal Brain Cells

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Multimodal MRI brain tumor segmentation using random forests with features learned from fully convolutional neural networkPreprint

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Artificial Intelligence–Based Approaches for Brain Tumor Segmentation in MRI: A Review

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Multi-modal U-Nets with Boundary Loss and Pre-training for Brain Tumor Segmentation

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Segmentasi Tumor Otak Berdasarkan Citra Magnetic Resonance Imaging Dengan Menggunakan Metode U-NET

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CapsNet-based brain tumor segmentation in multimodal MRI images using inhomogeneous voxels in Del vector domain

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Multi-modal Medical SAM: An Adaptation Method of Segment Anything Model (SAM) for Glioma Segmentation Using Multi-modal MR Images

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Enc‐Unet: A novel method for Glioma segmentation

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A Novel Method for Categorizing Brain Tumors using the Hybrid ALO-ELM Model

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Segmenting Brain Tumors from MRI Using Cascaded 3D U-Nets

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OptiSelect and EnShap: Integrating machine learning and game theory for ischemic stroke prediction

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Deformable Convolution Network for Reconstruction of Misaligned MRI Images and Classification of Brain Tumor in the Aligned Images

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Feature Extraction from Brain MR Images for Detecting Brain Tumor using Deep Learning Techniques

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AIM and Brain Tumors

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AIM and Brain Tumors

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A Novel Adaptive Swallow Swarm Optimisation Method for Medical Image Segmentation in Brain MRI Using Machine Learning

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Hierarchical brain tumour segmentation using extremely randomized trees

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