Cover Image

Efficient Feature Extraction and Classification Architecture for MRI-Based Brain Tumor Detection and Localization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Paul, Plabon, Islam, Md. Nazmul, Rafsani, Fazle, Khorasani, Pegah, Soumma, Shovito Barua
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DinoAtten3D: Slice-Level Attention Aggregation of DinoV2 for 3D Brain MRI Anomaly Classification
by: Rafsani, Fazle, et al.
Published: (2025)

From Explanations to Architecture: Explainability-Driven CNN Refinement for Brain Tumor Classification in MRI
by: Gupta, Rajan Das, et al.
Published: (2025)

An Optimized Ensemble Deep Learning Model For Brain Tumor Classification
by: Talukder, Md. Alamin, et al.
Published: (2023)

Brain Tumor Classification in MRI Images: A Computationally Efficient Convolutional Neural Network
by: Chowdhury, Md Fahimul Kabir, et al.
Published: (2026)

Efficient Brain Tumor Classification with Lightweight CNN Architecture: A Novel Approach
by: Ganguly, Priyam, et al.
Published: (2025)

BrainMetDetect: Predicting Primary Tumor from Brain Metastasis MRI Data Using Radiomic Features and Machine Learning Algorithms
by: Sadeghsalehi, Hamidreza
Published: (2024)

Systematic Evaluation of Wavelet-Based Denoising for MRI Brain Images: Optimal Configurations and Performance Benchmarks
by: Rahman, Asadullah Bin, et al.
Published: (2025)

Using Singular Value Decomposition in a Convolutional Neural Network to Improve Brain Tumor Segmentation Accuracy
by: Ahadian, Pegah, et al.
Published: (2024)

Fine-tuned Transformer Models for Breast Cancer Detection and Classification
by: Osman, Showkat, et al.
Published: (2025)

Efficient Feature Extraction Using Light-Weight CNN Attention-Based Deep Learning Architectures for Ultrasound Fetal Plane Classification
by: Sivasubramanian, Arrun, et al.
Published: (2024)

Detection and Classification of Glioblastoma Brain Tumor
by: Maurya, Utkarsh, et al.
Published: (2023)

Distributed Federated Learning-Based Deep Learning Model for Privacy MRI Brain Tumor Detection
by: Zhou, Lisang, et al.
Published: (2024)

Brain Tumor Detection Based on a Novel and High-Quality Prediction of the Tumor Pixel Distributions
by: Sun, Yanming, et al.
Published: (2023)

Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning
by: Irfan, Muhammad, et al.
Published: (2025)

Brain Tumor Classification From MRI Images Using Machine Learning
by: Ranganathan, Vidhyapriya, et al.
Published: (2024)

Brain Tumor Classification on MRI in Light of Molecular Markers
by: Liu, Jun, et al.
Published: (2024)

Efficient Brain Extraction of MRI Scans with Mild to Moderate Neuropathology
by: Thrastarson, Hjalti, et al.
Published: (2026)

Research on Feature Extraction Data Processing System For MRI of Brain Diseases Based on Computer Deep Learning
by: Xiao, Lingxi, et al.
Published: (2024)

Fetal-BET: Brain Extraction Tool for Fetal MRI
by: Faghihpirayesh, Razieh, et al.
Published: (2023)

Evaluating the Quality of Brain MRI Generators
by: Wu, Jiaqi, et al.
Published: (2024)

Classification of Mitral Regurgitation from Cardiac Cine MRI using Clinically-Interpretable Morphological Features
by: On, Y., et al.
Published: (2024)

Adaptive Weight Modified Riesz Mean Filter For High-Density Salt and Pepper Noise Removal
by: Islam, Md Jahidul
Published: (2025)

Deep Learning-Based Desikan-Killiany Parcellation of the Brain Using Diffusion MRI
by: Sadegheih, Yousef, et al.
Published: (2025)

Brain Tumor Classification using Vision Transformer with Selective Cross-Attention Mechanism and Feature Calibration
by: Khaniki, Mohammad Ali Labbaf, et al.
Published: (2024)

Transfer Learning and Explainable AI for Brain Tumor Classification: A Study Using MRI Data from Bangladesh
by: Sarker, Shuvashis
Published: (2025)

Selection and Stability of Functional Connectivity Features for Classification of Brain Disorders
by: Saha, Aniruddha, et al.
Published: (2025)

ArteryX: Advancing Brain Artery Feature Extraction with Vessel-Fused Networks and a Robust Validation Framework
by: Faiyaz, Abrar, et al.
Published: (2025)

Unified HT-CNNs Architecture: Transfer Learning for Segmenting Diverse Brain Tumors in MRI from Gliomas to Pediatric Tumors
by: Zeineldin, Ramy A., et al.
Published: (2024)

Prototype-Based Approach for One-Shot Segmentation of Brain Tumors using Few-Shot Learning
by: Ayman, Ahmed
Published: (2023)

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
by: Moawad, Ahmed W., et al.
Published: (2023)

Brain Tumor Radiogenomic Classification
by: Mohamed, Amr, et al.
Published: (2024)

Edge-guided and Cross-scale Feature Fusion Network for Efficient Multi-contrast MRI Super-Resolution
by: Yang, Zhiyuan, et al.
Published: (2024)

BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification
by: Fateh, Amirreza, et al.
Published: (2025)

Cepstrum-Based Texture Features for Melanoma Detection
by: Miller, Keith, et al.
Published: (2025)

Transformer-Based Local Feature Matching for Multimodal Image Registration
by: Delaunay, Remi, et al.
Published: (2024)

Learning Global and Local Features of Normal Brain Anatomy for Unsupervised Abnormality Detection
by: Kobayashi, Kazuma, et al.
Published: (2020)

ResNet-34 with Lightweight Decoder for Accurate and Efficient Segmentation of Fetal Brain MRI
by: Rahman, Ashiqur, et al.
Published: (2026)

Keep the Core: Adversarial Priors for Significance-Preserving Brain MRI Segmentation
by: Zhang, Feifei, et al.
Published: (2025)

Fetpype: An Open-Source Pipeline for Reproducible Fetal Brain MRI Analysis
by: Sanchez, Thomas, et al.
Published: (2025)

Brain MRI detection by Sematic Segmentation models- Transfer Learning approach
by: Vajiram, Jayanthi, et al.
Published: (2024)