Efficient Brain Tumor Classification with Lightweight CNN Architecture: A Novel Approach
Fuente:
arXiv
Saved in:
| Main Authors: | Ganguly, Priyam, Ghosh, Akhilbaran |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fibonacci-Net: A Lightweight CNN model for Automatic Brain Tumor Classification
by: Roy, Santanu, et al.
Published: (2025)
by: Roy, Santanu, 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)
by: Gupta, Rajan Das, et al.
Published: (2025)
Brain Tumor Detection Through Diverse CNN Architectures in IoT Healthcare Industries: Fast R-CNN, U-Net, Transfer Learning-Based CNN, and Fully Connected CNN
by: Ilani, Mohsen Asghari, et al.
Published: (2025)
by: Ilani, Mohsen Asghari, et al.
Published: (2025)
Efficient Feature Extraction and Classification Architecture for MRI-Based Brain Tumor Detection and Localization
by: Paul, Plabon, et al.
Published: (2024)
by: Paul, Plabon, et al.
Published: (2024)
MedSegMamba: 3D CNN-Mamba Hybrid Architecture for Brain Segmentation
by: Cao, Aaron, et al.
Published: (2024)
by: Cao, Aaron, et al.
Published: (2024)
BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification
by: Fateh, Amirreza, et al.
Published: (2025)
by: Fateh, Amirreza, et al.
Published: (2025)
UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN
by: Yuan, Chunyu, et al.
Published: (2023)
by: Yuan, Chunyu, et al.
Published: (2023)
An Ensemble Approach for Brain Tumor Segmentation and Synthesis
by: Rivera, Juampablo E. Heras, et al.
Published: (2024)
by: Rivera, Juampablo E. Heras, et al.
Published: (2024)
Efficient Feature Extraction Using Light-Weight CNN Attention-Based Deep Learning Architectures for Ultrasound Fetal Plane Classification
by: Sivasubramanian, Arrun, et al.
Published: (2024)
by: Sivasubramanian, Arrun, et al.
Published: (2024)
Attention Xception UNet (AXUNet): A Novel Combination of CNN and Self-Attention for Brain Tumor Segmentation
by: Moodi, Farzan, et al.
Published: (2025)
by: Moodi, Farzan, et al.
Published: (2025)
LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for Brain Tumor Segmentation
by: Alwadee, Ebtihal J., et al.
Published: (2024)
by: Alwadee, Ebtihal J., et al.
Published: (2024)
SKIPNet: Spatial Attention Skip Connections for Enhanced Brain Tumor Classification
by: Mendiratta, Khush, et al.
Published: (2024)
by: Mendiratta, Khush, et al.
Published: (2024)
NeuroMorphix: A Novel Brain MRI Asymmetry-specific Feature Construction Approach For Seizure Recurrence Prediction
by: Ghosh, Soumen, et al.
Published: (2024)
by: Ghosh, Soumen, et al.
Published: (2024)
Enhancing Diabetic Retinopathy Diagnosis: A Lightweight CNN Architecture for Efficient Exudate Detection in Retinal Fundus Images
by: Alif, Mujadded Al Rabbani
Published: (2024)
by: Alif, Mujadded Al Rabbani
Published: (2024)
Deep Learning for Lung Disease Classification Using Transfer Learning and a Customized CNN Architecture with Attention
by: Liu, Xiaoyi, et al.
Published: (2024)
by: Liu, Xiaoyi, et al.
Published: (2024)
Brain Tumor Radiogenomic Classification
by: Mohamed, Amr, et al.
Published: (2024)
by: Mohamed, Amr, et al.
Published: (2024)
Lite-FBCN: Lightweight Fast Bilinear Convolutional Network for Brain Disease Classification from MRI Image
by: Rumala, Dewinda Julianensi, et al.
Published: (2024)
by: Rumala, Dewinda Julianensi, et al.
Published: (2024)
Brain Tumor Classification using Vision Transformer with Selective Cross-Attention Mechanism and Feature Calibration
by: Khaniki, Mohammad Ali Labbaf, et al.
Published: (2024)
by: Khaniki, Mohammad Ali Labbaf, et al.
Published: (2024)
Efficient 3D Brain Tumor Segmentation with Axial-Coronal-Sagittal Embedding
by: Huynh, Tuan-Luc, et al.
Published: (2025)
by: Huynh, Tuan-Luc, et al.
Published: (2025)
Task-oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation
by: Zhang, Zhenxuan, et al.
Published: (2025)
by: Zhang, Zhenxuan, et al.
Published: (2025)
Detection and Classification of Glioblastoma Brain Tumor
by: Maurya, Utkarsh, et al.
Published: (2023)
by: Maurya, Utkarsh, et al.
Published: (2023)
Transfer Learning and Explainable AI for Brain Tumor Classification: A Study Using MRI Data from Bangladesh
by: Sarker, Shuvashis
Published: (2025)
by: Sarker, Shuvashis
Published: (2025)
Team Westwood Solution for MIDOG 2025 Challenge: An Ensemble-CNN-Based Approach For Mitosis Detection And Classification
by: Xu, Tengyou, et al.
Published: (2025)
by: Xu, Tengyou, 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)
by: Chowdhury, Md Fahimul Kabir, et al.
Published: (2026)
Fusion-Based Brain Tumor Classification Using Deep Learning and Explainable AI, and Rule-Based Reasoning
by: Filvantorkaman, Melika, et al.
Published: (2025)
by: Filvantorkaman, Melika, et al.
Published: (2025)
Breast Tumor Classification Using EfficientNet Deep Learning Model
by: Behzadpour, Majid, et al.
Published: (2024)
by: Behzadpour, Majid, et al.
Published: (2024)
AD-Lite Net: A Lightweight and Concatenated CNN Model for Alzheimer's Detection from MRI Images
by: Roy, Santanu, et al.
Published: (2024)
by: Roy, Santanu, et al.
Published: (2024)
Transformer-CNN Fused Architecture for Enhanced Skin Lesion Segmentation
by: Tiwari, Siddharth
Published: (2024)
by: Tiwari, Siddharth
Published: (2024)
Alzheimers Disease Classification in Functional MRI With 4D Joint Temporal-Spatial Kernels in Novel 4D CNN Model
by: Cavazos, Javier Salazar, et al.
Published: (2025)
by: Cavazos, Javier Salazar, et al.
Published: (2025)
Enhancing Deep Learning Model Explainability in Brain Tumor Datasets using Post-Heuristic Approaches
by: Pasvantis, Konstantinos, et al.
Published: (2024)
by: Pasvantis, Konstantinos, et al.
Published: (2024)
A New Logic For Pediatric Brain Tumor Segmentation
by: Bengtsson, Max, et al.
Published: (2024)
by: Bengtsson, Max, et al.
Published: (2024)
Lightweight Residual Network for The Classification of Thyroid Nodules
by: Nikhila, Ponugoti, et al.
Published: (2019)
by: Nikhila, Ponugoti, et al.
Published: (2019)
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
by: Li, Hongwei Bran, et al.
Published: (2023)
by: Li, Hongwei Bran, et al.
Published: (2023)
Segment Anything Model for Brain Tumor Segmentation
by: Zhang, Peng, et al.
Published: (2023)
by: Zhang, Peng, et al.
Published: (2023)
Degradation-Aware Blur-Segmentation of Brain Tumor
by: Wang, Yuchun, et al.
Published: (2026)
by: Wang, Yuchun, et al.
Published: (2026)
MBDRes-U-Net: Multi-Scale Lightweight Brain Tumor Segmentation Network
by: Shen, Longfeng, et al.
Published: (2024)
by: Shen, Longfeng, et al.
Published: (2024)
MIC: Medical Image Classification Using Chest X-ray (COVID-19 and Pneumonia) Dataset with the Help of CNN and Customized CNN
by: Fahad, Nafiz, et al.
Published: (2024)
by: Fahad, Nafiz, et al.
Published: (2024)
Classification of Endoscopy and Video Capsule Images using CNN-Transformer Model
by: Subedi, Aliza, et al.
Published: (2024)
by: Subedi, Aliza, et al.
Published: (2024)
Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation
by: Fu, Jingru, et al.
Published: (2024)
by: Fu, Jingru, et al.
Published: (2024)
Deep Learning Architectures for Medical Image Denoising: A Comparative Study of CNN-DAE, CADTra, and DCMIEDNet
by: Rahman, Asadullah Bin, et al.
Published: (2025)
by: Rahman, Asadullah Bin, et al.
Published: (2025)
Similar Items
-
Fibonacci-Net: A Lightweight CNN model for Automatic Brain Tumor Classification
by: Roy, Santanu, 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) -
Brain Tumor Detection Through Diverse CNN Architectures in IoT Healthcare Industries: Fast R-CNN, U-Net, Transfer Learning-Based CNN, and Fully Connected CNN
by: Ilani, Mohsen Asghari, et al.
Published: (2025) -
Efficient Feature Extraction and Classification Architecture for MRI-Based Brain Tumor Detection and Localization
by: Paul, Plabon, et al.
Published: (2024) -
MedSegMamba: 3D CNN-Mamba Hybrid Architecture for Brain Segmentation
by: Cao, Aaron, et al.
Published: (2024)