Cover Image

A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Díaz-Pernas, Francisco Javier, Martínez-Zarzuela, Mario, Antón-Rodríguez, Míriam, González-Ortega, David
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multimodal video and IMU kinematic dataset on daily life activities using affordable devices (VIDIMU)
by: Martínez-Zarzuela, Mario, et al.
Published: (2023)

Brain Tumor Diagnosis Using Quantum Convolutional Neural Networks
by: Khan, Muhammad Al-Zafar, et al.
Published: (2024)

On Enhancing Brain Tumor Segmentation Across Diverse Populations with Convolutional Neural Networks
by: Maani, Fadillah, et al.
Published: (2024)

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

Multiscale Encoder and Omni-Dimensional Dynamic Convolution Enrichment in nnU-Net for Brain Tumor Segmentation
by: Mistry, Sahaj K., et al.
Published: (2024)

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

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

Malaria detection using Deep Convolution Neural Network
by: Kumar, Sumit, et al.
Published: (2023)

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

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

Automatic Detection and Classification of Corona Infection (COVID-19) from X-ray Images Using Convolution Neural Network
by: Patel, Kinjal A, et al.
Published: (2024)

An Ensemble Approach for Brain Tumor Segmentation and Synthesis
by: Rivera, Juampablo E. Heras, et al.
Published: (2024)

Motion Classification Based on Harmonic Micro-Doppler Signatures Using a Convolutional Neural Network
by: Hilton, Cory, et al.
Published: (2023)

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

Promptable Counterfactual Diffusion Model for Unified Brain Tumor Segmentation and Generation with MRIs
by: Shen, Yiqing, et al.
Published: (2024)

Segmentation of Brain Metastases in MRI: A Two-Stage Deep Learning Approach with Modality Impact Study
by: Sadegheih, Yousef, et al.
Published: (2024)

Enhancing Brain Tumor Classification Using TrAdaBoost and Multi-Classifier Deep Learning Approaches
by: Mohammadi, Mahin, et al.
Published: (2024)

Deep Learning for Automated Wound Classification And Segmentation
by: Jahangir, Md. Zihad Bin, et al.
Published: (2024)

Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction
by: Schwehr, Zachary, et al.
Published: (2023)

CTVR-EHO TDA-IPH Topological Optimized Convolutional Visual Recurrent Network for Brain Tumor Segmentation and Classification
by: Joshi, Dhananjay, et al.
Published: (2022)

Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks
by: Helm, Kimberly, et al.
Published: (2024)

MIP-Based Tumor Segmentation: A Radiologist-Inspired Approach
by: Zarik, Romario, et al.
Published: (2025)

SEDNet: Shallow Encoder-Decoder Network for Brain Tumor Segmentation
by: Olisah, Chollette C., et al.
Published: (2024)

Fusion-Based Brain Tumor Classification Using Deep Learning and Explainable AI, and Rule-Based Reasoning
by: Filvantorkaman, Melika, et al.
Published: (2025)

AutoEncoder Convolutional Neural Network for Pneumonia Detection
by: Nosa-Omoruyi, Michael, et al.
Published: (2024)

Segment Anything Model for Brain Tumor Segmentation
by: Zhang, Peng, et al.
Published: (2023)

CATFA-Net: A Trans-Convolutional Approach for Accurate Medical Image Segmentation
by: Mallick, Siddhartha, et al.
Published: (2026)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
by: Li, Hongwei Bran, et al.
Published: (2023)

Deep Ensemble approach for Enhancing Brain Tumor Segmentation in Resource-Limited Settings
by: Fadugba, Jeremiah, et al.
Published: (2025)

Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learning
by: Behzadpour, Majid, et al.
Published: (2025)

SegNet: A Segmented Deep Learning based Convolutional Neural Network Approach for Drones Wildfire Detection
by: Jonnalagadda, Aditya V., et al.
Published: (2024)

LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for Brain Tumor Segmentation
by: Alwadee, Ebtihal J., et al.
Published: (2024)

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

Segmentation of Pediatric Brain Tumors using a Radiologically informed, Deep Learning Cascade
by: Mulvany, Timothy, et al.
Published: (2024)

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

Classification of Brain Tumors using Hybrid Deep Learning Models
by: Gala, Neerav Nemchand
Published: (2025)

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

MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation
by: Gao, Yifan, et al.
Published: (2024)

Degradation-Aware Blur-Segmentation of Brain Tumor
by: Wang, Yuchun, et al.
Published: (2026)

Deep Learning-Based Automated Post-Operative Gross Tumor Volume Segmentation in Glioblastoma Patients
by: Muthusivarajan, Rajarajeswari, et al.
Published: (2024)