Transfer Learning and Explainable AI for Brain Tumor Classification: A Study Using MRI Data from Bangladesh
Fuente:
arXiv
Saved in:
| Main Author: | Sarker, Shuvashis |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Comprehensive Analysis of COVID-19 Detection Using Bangladeshi Data and Explainable AI
by: Sarker, Shuvashis
Published: (2025)
by: Sarker, Shuvashis
Published: (2025)
Comprehensive Lung Disease Detection Using Deep Learning Models and Hybrid Chest X-ray Data with Explainable AI
by: Sarker, Shuvashis, et al.
Published: (2025)
by: Sarker, Shuvashis, et al.
Published: (2025)
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)
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 Classification From MRI Images Using Machine Learning
by: Ranganathan, Vidhyapriya, et al.
Published: (2024)
by: Ranganathan, Vidhyapriya, et al.
Published: (2024)
Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learning
by: Behzadpour, Majid, et al.
Published: (2025)
by: Behzadpour, Majid, et al.
Published: (2025)
Tumor Location-weighted MRI-Report Contrastive Learning: A Framework for Improving the Explainability of Pediatric Brain Tumor Diagnosis
by: Ketabi, Sara, et al.
Published: (2024)
by: Ketabi, Sara, et al.
Published: (2024)
Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning
by: Irfan, Muhammad, et al.
Published: (2025)
by: Irfan, Muhammad, et al.
Published: (2025)
Automated MRI Quality Assessment of Brain T1-weighted MRI in Clinical Data Warehouses: A Transfer Learning Approach Relying on Artefact Simulation
by: Loizillon, Sophie, et al.
Published: (2024)
by: Loizillon, Sophie, et al.
Published: (2024)
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)
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)
by: Zeineldin, Ramy A., et al.
Published: (2024)
Lumbar Spine Tumor Segmentation and Localization in T2 MRI Images Using AI
by: Pal, Rikathi, et al.
Published: (2024)
by: Pal, Rikathi, 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)
Using a Convolutional Neural Network and Explainable AI to Diagnose Dementia Based on MRI Scans
by: Morris, Tyler, et al.
Published: (2024)
by: Morris, Tyler, et al.
Published: (2024)
Deep Brain Net: An Optimized Deep Learning Model for Brain tumor Detection in MRI Images Using EfficientNetB0 and ResNet50 with Transfer Learning
by: Onah, Daniel, et al.
Published: (2025)
by: Onah, Daniel, et al.
Published: (2025)
BrainNormalizer: Anatomy-Informed Pseudo-Healthy Brain Reconstruction from Tumor MRI via Edge-Guided ControlNet
by: Kwak, Min Gu, et al.
Published: (2025)
by: Kwak, Min Gu, et al.
Published: (2025)
Efficient Brain Tumor Classification with Lightweight CNN Architecture: A Novel Approach
by: Ganguly, Priyam, et al.
Published: (2025)
by: Ganguly, Priyam, et al.
Published: (2025)
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)
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)
Whole-brain Transferable Representations from Large-Scale fMRI Data Improve Task-Evoked Brain Activity Decoding
by: Peng, Yueh-Po, et al.
Published: (2025)
by: Peng, Yueh-Po, et al.
Published: (2025)
SKIPNet: Spatial Attention Skip Connections for Enhanced Brain Tumor Classification
by: Mendiratta, Khush, et al.
Published: (2024)
by: Mendiratta, Khush, et al.
Published: (2024)
CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis
by: Gui, Lujun, et al.
Published: (2024)
by: Gui, Lujun, et al.
Published: (2024)
Breast Tumor Classification Using EfficientNet Deep Learning Model
by: Behzadpour, Majid, et al.
Published: (2024)
by: Behzadpour, Majid, et al.
Published: (2024)
3D Brain MRI Classification for Alzheimer Diagnosis Using CNN with Data Augmentation
by: Vo, Thien Nhan, et al.
Published: (2025)
by: Vo, Thien Nhan, et al.
Published: (2025)
Explainable AI for Autism Diagnosis: Identifying Critical Brain Regions Using fMRI Data
by: Vidya, Suryansh, et al.
Published: (2024)
by: Vidya, Suryansh, et al.
Published: (2024)
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)
Multi-Plane Vision Transformer for Hemorrhage Classification Using Axial and Sagittal MRI Data
by: Das, Badhan Kumar, et al.
Published: (2025)
by: Das, Badhan Kumar, et al.
Published: (2025)
Generative AI Enables Structural Brain Network Construction from fMRI via Symmetric Diffusion Learning
by: Zuo, Qiankun, et al.
Published: (2023)
by: Zuo, Qiankun, et al.
Published: (2023)
Brain Tumor Radiogenomic Classification
by: Mohamed, Amr, et al.
Published: (2024)
by: Mohamed, Amr, et al.
Published: (2024)
Uncovering Neuroimaging Biomarkers of Brain Tumor Surgery with AI-Driven Methods
by: Jimenez-Mesa, Carmen, et al.
Published: (2025)
by: Jimenez-Mesa, Carmen, et al.
Published: (2025)
DMCIE: Diffusion Model with Concatenation of Inputs and Errors to Improve the Accuracy of the Segmentation of Brain Tumors in MRI Images
by: Yavari, Sara, et al.
Published: (2025)
by: Yavari, Sara, et al.
Published: (2025)
How You Split Matters: Data Leakage and Subject Characteristics Studies in Longitudinal Brain MRI Analysis
by: Rumala, Dewinda Julianensi
Published: (2023)
by: Rumala, Dewinda Julianensi
Published: (2023)
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)
Enhancing Transfer Learning for Medical Image Classification with SMOTE: A Comparative Study
by: Alam, Md. Zehan, et al.
Published: (2024)
by: Alam, Md. Zehan, et al.
Published: (2024)
Enhancing MRI-Based Classification of Alzheimer's Disease with Explainable 3D Hybrid Compact Convolutional Transformers
by: Majee, Arindam, et al.
Published: (2024)
by: Majee, Arindam, et al.
Published: (2024)
Brain Tumor Classification on MRI in Light of Molecular Markers
by: Liu, Jun, et al.
Published: (2024)
by: Liu, Jun, et al.
Published: (2024)
DDEvENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI
by: Li, Chenjun, et al.
Published: (2024)
by: Li, Chenjun, et al.
Published: (2024)
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor Segmentation
by: Ren, Tianyi, et al.
Published: (2024)
by: Ren, Tianyi, et al.
Published: (2024)
AI-Enhanced Virtual Biopsies for Brain Tumor Diagnosis in Low Resource Settings
by: Ehsan, Areeb
Published: (2025)
by: Ehsan, Areeb
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)
by: Khaniki, Mohammad Ali Labbaf, et al.
Published: (2024)
Similar Items
-
A Comprehensive Analysis of COVID-19 Detection Using Bangladeshi Data and Explainable AI
by: Sarker, Shuvashis
Published: (2025) -
Comprehensive Lung Disease Detection Using Deep Learning Models and Hybrid Chest X-ray Data with Explainable AI
by: Sarker, Shuvashis, et al.
Published: (2025) -
Fusion-Based Brain Tumor Classification Using Deep Learning and Explainable AI, and Rule-Based Reasoning
by: Filvantorkaman, Melika, 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 Classification From MRI Images Using Machine Learning
by: Ranganathan, Vidhyapriya, et al.
Published: (2024)