Detecting Glioma, Meningioma, and Pituitary Tumors, and Normal Brain Tissues based on Yolov11 and Yolov8 Deep Learning Models
Fuente:
arXiv
Saved in:
| Main Authors: | Taha, Ahmed M., Aly, Salah A., Darwish, Mohamed F. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Acute Lymphoblastic Leukemia Diagnosis Employing YOLOv11, YOLOv8, ResNet50, and Inception-ResNet-v2 Deep Learning Models
by: Awad, Alaa, et al.
Published: (2025)
by: Awad, Alaa, et al.
Published: (2025)
Efficient Meningioma Tumor Segmentation Using Ensemble Learning
by: Pajouh, Mohammad Mahdi Danesh, et al.
Published: (2025)
by: Pajouh, Mohammad Mahdi Danesh, et al.
Published: (2025)
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)
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)
Minimally Interactive Segmentation of Soft-Tissue Tumors on CT and MRI using Deep Learning
by: Spaanderman, Douwe J., et al.
Published: (2024)
by: Spaanderman, Douwe J., et al.
Published: (2024)
Learning Global and Local Features of Normal Brain Anatomy for Unsupervised Abnormality Detection
by: Kobayashi, Kazuma, et al.
Published: (2020)
by: Kobayashi, Kazuma, et al.
Published: (2020)
Systematic Review of Pituitary Gland and Pituitary Adenoma Automatic Segmentation Techniques in Magnetic Resonance Imaging
by: Yakubu, Mubaraq, et al.
Published: (2025)
by: Yakubu, Mubaraq, et al.
Published: (2025)
Segmentation of Pediatric Brain Tumors using a Radiologically informed, Deep Learning Cascade
by: Mulvany, Timothy, et al.
Published: (2024)
by: Mulvany, Timothy, et al.
Published: (2024)
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)
The Brain Tumor Sequence Registration (BraTS-Reg) Challenge: Establishing Correspondence Between Pre-Operative and Follow-up MRI Scans of Diffuse Glioma Patients
by: Baheti, Bhakti, et al.
Published: (2021)
by: Baheti, Bhakti, et al.
Published: (2021)
Prototype-Based Approach for One-Shot Segmentation of Brain Tumors using Few-Shot Learning
by: Ayman, Ahmed
Published: (2023)
by: Ayman, Ahmed
Published: (2023)
Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning
by: Liu, Yihao, et al.
Published: (2025)
by: Liu, Yihao, 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)
Z-Stack Scanning can Improve AI Detection of Mitosis: A Case Study of Meningiomas
by: Gu, Hongyan, et al.
Published: (2025)
by: Gu, Hongyan, et al.
Published: (2025)
Advanced Tumor Segmentation in Medical Imaging: An Ensemble Approach for BraTS 2023 Adult Glioma and Pediatric Tumor Tasks
by: Maani, Fadillah, et al.
Published: (2024)
by: Maani, Fadillah, 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)
by: Filvantorkaman, Melika, et al.
Published: (2025)
Diagnosis of Malignant Lymphoma Cancer Using Hybrid Optimized Techniques Based on Dense Neural Networks
by: Aly, Salah A., et al.
Published: (2024)
by: Aly, Salah A., et al.
Published: (2024)
Deep Learning-Based Brain Image Segmentation for Automated Tumour Detection
by: Sourabh, Suman, et al.
Published: (2024)
by: Sourabh, Suman, et al.
Published: (2024)
Brain Tumor Radiogenomic Classification
by: Mohamed, Amr, et al.
Published: (2024)
by: Mohamed, Amr, et al.
Published: (2024)
Deep Learning Segmentation and Classification of Red Blood Cells Using a Large Multi-Scanner Dataset
by: Elmanna, Mohamed, et al.
Published: (2024)
by: Elmanna, Mohamed, et al.
Published: (2024)
An Optimized Ensemble Deep Learning Model For Brain Tumor Classification
by: Talukder, Md. Alamin, et al.
Published: (2023)
by: Talukder, Md. Alamin, et al.
Published: (2023)
Classification of Brain Tumors using Hybrid Deep Learning Models
by: Gala, Neerav Nemchand
Published: (2025)
by: Gala, Neerav Nemchand
Published: (2025)
Deep Ensemble approach for Enhancing Brain Tumor Segmentation in Resource-Limited Settings
by: Fadugba, Jeremiah, et al.
Published: (2025)
by: Fadugba, Jeremiah, et al.
Published: (2025)
The Brain Tumor Segmentation (BraTS) Challenge: Local Synthesis of Healthy Brain Tissue via Inpainting
by: Kofler, Florian, et al.
Published: (2023)
by: Kofler, Florian, et al.
Published: (2023)
Training Beyond Convergence: Grokking nnU-Net for Glioma Segmentation in Sub-Saharan MRI
by: Barakat, Mohtady, et al.
Published: (2026)
by: Barakat, Mohtady, et al.
Published: (2026)
Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room
by: Cepeda, Santiago, et al.
Published: (2025)
by: Cepeda, Santiago, et al.
Published: (2025)
Parameter-efficient Fine-tuning for improved Convolutional Baseline for Brain Tumor Segmentation in Sub-Saharan Africa Adult Glioma Dataset
by: Adhikari, Bijay, et al.
Published: (2024)
by: Adhikari, Bijay, et al.
Published: (2024)
Detection and Classification of Glioblastoma Brain Tumor
by: Maurya, Utkarsh, et al.
Published: (2023)
by: Maurya, Utkarsh, et al.
Published: (2023)
Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research
by: Ghamizi, Salah, et al.
Published: (2025)
by: Ghamizi, Salah, et al.
Published: (2025)
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)
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)
Multicenter Privacy-Preserving Model Training for Deep Learning Brain Metastases Autosegmentation
by: Huang, Yixing, et al.
Published: (2024)
by: Huang, Yixing, et al.
Published: (2024)
Denoising Diffusion Models for Inpainting of Healthy Brain Tissue
by: Durrer, Alicia, et al.
Published: (2024)
by: Durrer, Alicia, et al.
Published: (2024)
Deep Learning Based Apparent Diffusion Coefficient Map Generation from Multi-parametric MR Images for Patients with Diffuse Gliomas
by: Eidex, Zach, et al.
Published: (2024)
by: Eidex, Zach, et al.
Published: (2024)
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge
by: LaBella, Dominic, et al.
Published: (2024)
by: LaBella, Dominic, et al.
Published: (2024)
EMedNeXt: An Enhanced Brain Tumor Segmentation Framework for Sub-Saharan Africa using MedNeXt V2 with Deep Supervision
by: Jaheen, Ahmed, et al.
Published: (2025)
by: Jaheen, Ahmed, et al.
Published: (2025)
Intraoperative Glioma Segmentation with YOLO + SAM for Improved Accuracy in Tumor Resection
by: Kassam, Samir, et al.
Published: (2024)
by: Kassam, Samir, et al.
Published: (2024)
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)
GANet-Seg: Adversarial Learning for Brain Tumor Segmentation with Hybrid Generative Models
by: Cui, Qifei, et al.
Published: (2025)
by: Cui, Qifei, et al.
Published: (2025)
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)
Similar Items
-
Acute Lymphoblastic Leukemia Diagnosis Employing YOLOv11, YOLOv8, ResNet50, and Inception-ResNet-v2 Deep Learning Models
by: Awad, Alaa, et al.
Published: (2025) -
Efficient Meningioma Tumor Segmentation Using Ensemble Learning
by: Pajouh, Mohammad Mahdi Danesh, et al.
Published: (2025) -
Improved Brain Tumor Detection in MRI: Fuzzy Sigmoid Convolution in Deep Learning
by: Irfan, Muhammad, 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) -
Minimally Interactive Segmentation of Soft-Tissue Tumors on CT and MRI using Deep Learning
by: Spaanderman, Douwe J., et al.
Published: (2024)