Imagen de Portada

An Optimized Ensemble Deep Learning Model For Brain Tumor Classification

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Talukder, Md. Alamin, Islam, Md. Manowarul, Uddin, Md Ashraf
Formato:	Preprint
Publicado:	2023
Materias:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique
por: Akter, Maksuda, et al.
Publicado: (2024)

Hybridized Convolutional Neural Networks and Long Short-Term Memory for Improved Alzheimer's Disease Diagnosis from MRI Scans
por: Khatun, Maleka, et al.
Publicado: (2024)

Empowering COVID-19 Detection: Optimizing Performance Through Fine-Tuned EfficientNet Deep Learning Architecture
por: Talukder, Md. Alamin, et al.
Publicado: (2023)

A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification
por: Akter, Maksuda, et al.
Publicado: (2024)

Optimizing Deep Learning for Skin Cancer Classification: A Computationally Efficient CNN with Minimal Accuracy Trade-Off
por: Mamun, Abdullah Al, et al.
Publicado: (2025)

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

Skin Cancer Segmentation and Classification Using Vision Transformer for Automatic Analysis in Dermatoscopy-based Non-invasive Digital System
por: Himel, Galib Muhammad Shahriar, et al.
Publicado: (2024)

Hybrid Deep Learning Framework for Classification of Kidney CT Images: Diagnosis of Stones, Cysts, and Tumors
por: Sharma, Kiran, et al.
Publicado: (2025)

Contextual Checkerboard Denoise -- A Novel Neural Network-Based Approach for Classification-Aware OCT Image Denoising
por: Islam, Md. Touhidul, et al.
Publicado: (2024)

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

A Comparison Study of Deep CNN Architecture in Detecting of Pneumonia
por: Porag, Al Mohidur Rahman, et al.
Publicado: (2022)

Leveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational Efficiency
por: Islam, Niful, et al.
Publicado: (2024)

Brain Tumor Radiogenomic Classification
por: Mohamed, Amr, et al.
Publicado: (2024)

Pioneering Precision in Lumbar Spine MRI Segmentation with Advanced Deep Learning and Data Enhancement
por: Ahmed, Istiak, et al.
Publicado: (2024)

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

GastroViT: A Vision Transformer Based Ensemble Learning Approach for Gastrointestinal Disease Classification with Grad CAM & SHAP Visualization
por: Tabassum, Sumaiya, et al.
Publicado: (2025)

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

MADE-for-ASD: A Multi-Atlas Deep Ensemble Network for Diagnosing Autism Spectrum Disorder
por: Liu, Xuehan, et al.
Publicado: (2024)

An Optimization Framework for Processing and Transfer Learning for the Brain Tumor Segmentation
por: Ren, Tianyi, et al.
Publicado: (2024)

DSVTLA: Deep Swin Vision Transformer-Based Transfer Learning Architecture for Multi-Type Cancer Histopathological Cancer Image Classification
por: Khan, Muazzem Hussain, et al.
Publicado: (2026)

A study on deep feature extraction to detect and classify Acute Lymphoblastic Leukemia (ALL)
por: Preanto, Sabit Ahamed, et al.
Publicado: (2024)

Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment
por: Sanjid, Kazi Shahriar, et al.
Publicado: (2024)

Ensemble Learning and 3D Pix2Pix for Comprehensive Brain Tumor Analysis in Multimodal MRI
por: Zeineldin, Ramy A., et al.
Publicado: (2024)

OptiGait-LGBM: An Efficient Approach of Gait-based Person Re-identification in Non-Overlapping Regions
por: Chowdhury, Md. Sakib Hassan, et al.
Publicado: (2025)

Deep Learning for Wound Tissue Segmentation: A Comprehensive Evaluation using A Novel Dataset
por: Kabir, Muhammad Ashad, et al.
Publicado: (2025)

Efficient Feature Extraction and Classification Architecture for MRI-Based Brain Tumor Detection and Localization
por: Paul, Plabon, et al.
Publicado: (2024)

Self-DenseMobileNet: A Robust Framework for Lung Nodule Classification using Self-ONN and Stacking-based Meta-Classifier
por: Rahman, Md. Sohanur, et al.
Publicado: (2024)

Vision Models for Medical Imaging: A Hybrid Approach for PCOS Detection from Ultrasound Scans
por: Hoque, Md Mahmudul, et al.
Publicado: (2026)

MSRANetV2: An Explainable Deep Learning Architecture for Multi-class Classification of Colorectal Histopathological Images
por: Sarkar, Ovi, et al.
Publicado: (2025)

Efficient Meningioma Tumor Segmentation Using Ensemble Learning
por: Pajouh, Mohammad Mahdi Danesh, et al.
Publicado: (2025)

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

Advancing Diffusion Models: Alias-Free Resampling and Enhanced Rotational Equivariance
por: Anjum, Md Fahim
Publicado: (2024)

Proportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network
por: Afif, Mahin Montasir, et al.
Publicado: (2025)

Detecting Glioma, Meningioma, and Pituitary Tumors, and Normal Brain Tissues based on Yolov11 and Yolov8 Deep Learning Models
por: Taha, Ahmed M., et al.
Publicado: (2025)

Advancing Brain Tumor Inpainting with Generative Models
por: Zhu, Ruizhi, et al.
Publicado: (2024)

Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion
por: Sanjid, Kazi Shahriar, et al.
Publicado: (2024)

Residual Learning and Filtering Networks for End-to-End Lossless Video Compression
por: Islam, Md baharul, et al.
Publicado: (2025)

A study on Deep Convolutional Neural Networks, Transfer Learning and Ensemble Model for Breast Cancer Detection
por: Ahad, Md Taimur, et al.
Publicado: (2024)

A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network
por: Díaz-Pernas, Francisco Javier, et al.
Publicado: (2024)

Size and Smoothness Aware Adaptive Focal Loss for Small Tumor Segmentation
por: Islam, Md Rakibul, et al.
Publicado: (2024)