An Integrated Deep Learning Framework Leveraging NASNet and Vision Transformer with MixProcessing for Accurate and Precise Diagnosis of Lung Diseases
Fuente:
arXiv
Saved in:
| Main Authors: | Saleem, Sajjad, Sharif, Muhammad Imran |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis
by: Dack, Ethan, et al.
Published: (2025)
by: Dack, Ethan, et al.
Published: (2025)
Efficient and Accurate Tuberculosis Diagnosis: Attention Residual U-Net and Vision Transformer Based Detection Framework
by: K, Greeshma, et al.
Published: (2025)
by: K, Greeshma, et al.
Published: (2025)
Lung Disease Detection with Vision Transformers: A Comparative Study of Machine Learning Methods
by: Dayan, Baljinnyam
Published: (2024)
by: Dayan, Baljinnyam
Published: (2024)
Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing
by: Efimovich, Maria, et al.
Published: (2024)
by: Efimovich, Maria, et al.
Published: (2024)
TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation
by: Iqbal, Shahzaib, et al.
Published: (2024)
by: Iqbal, Shahzaib, et al.
Published: (2024)
Deep-Learning-Assisted Highly-Accurate COVID-19 Diagnosis on Lung Computed Tomography Images
by: Wang, Yinuo, et al.
Published: (2025)
by: Wang, Yinuo, et al.
Published: (2025)
Developing a Dual-Stage Vision Transformer Model for Lung Disease Classification
by: Mazumder, Anirudh, et al.
Published: (2024)
by: Mazumder, Anirudh, et al.
Published: (2024)
Leveraging Video Vision Transformer for Alzheimer's Disease Diagnosis from 3D Brain MRI
by: Akan, Taymaz, et al.
Published: (2025)
by: Akan, Taymaz, et al.
Published: (2025)
Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging
by: Wang, Xiawei, et al.
Published: (2024)
by: Wang, Xiawei, et al.
Published: (2024)
Leveraging Deep Learning with Multi-Head Attention for Accurate Extraction of Medicine from Handwritten Prescriptions
by: Ali, Usman, et al.
Published: (2024)
by: Ali, Usman, et al.
Published: (2024)
Advancing Lung Disease Diagnosis in 3D CT Scans
by: Li, Qingqiu, et al.
Published: (2025)
by: Li, Qingqiu, et al.
Published: (2025)
HistoViT: Vision Transformer for Accurate and Scalable Histopathological Cancer Diagnosis
by: Ahmed, Faisal
Published: (2025)
by: Ahmed, Faisal
Published: (2025)
Leveraging Machine Learning for Early Detection of Lung Diseases
by: Rahmani, Bahareh, et al.
Published: (2025)
by: Rahmani, Bahareh, et al.
Published: (2025)
AutoLungDx: A Hybrid Deep Learning Approach for Early Lung Cancer Diagnosis Using 3D Res-U-Net, YOLOv5, and Vision Transformers
by: Shuvo, Samiul Based, et al.
Published: (2023)
by: Shuvo, Samiul Based, et al.
Published: (2023)
Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification
by: Islam, Rafiul, et al.
Published: (2025)
by: Islam, Rafiul, et al.
Published: (2025)
Advanced Deep Learning Techniques for Accurate Lung Cancer Detection and Classification
by: Abumohsen, Mobarak, et al.
Published: (2025)
by: Abumohsen, Mobarak, et al.
Published: (2025)
A Survey on Semantic Communication for Vision: Categories, Frameworks, Enabling Techniques, and Applications
by: Cheng, Runze, et al.
Published: (2026)
by: Cheng, Runze, et al.
Published: (2026)
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)
A Segmentation Framework for Accurate Diagnosis of Amyloid Positivity without Structural Images
by: Zhu, Penghan, et al.
Published: (2025)
by: Zhu, Penghan, et al.
Published: (2025)
EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation
by: Iqbal, Shahzaib, et al.
Published: (2024)
by: Iqbal, Shahzaib, et al.
Published: (2024)
Transforming Precision: A Comparative Analysis of Vision Transformers, CNNs, and Traditional ML for Knee Osteoarthritis Severity Diagnosis
by: Apon, Tasnim Sakib, et al.
Published: (2024)
by: Apon, Tasnim Sakib, et al.
Published: (2024)
GastroViT: A Vision Transformer Based Ensemble Learning Approach for Gastrointestinal Disease Classification with Grad CAM & SHAP Visualization
by: Tabassum, Sumaiya, et al.
Published: (2025)
by: Tabassum, Sumaiya, et al.
Published: (2025)
A Deep Learning Architectures for Kidney Disease Classification
by: Farooq, Muhammad Shoaib, et al.
Published: (2024)
by: Farooq, Muhammad Shoaib, et al.
Published: (2024)
Sensing for Space Safety and Sustainability: A Deep Learning Approach with Vision Transformers
by: Zhang, Wenxuan, et al.
Published: (2024)
by: Zhang, Wenxuan, et al.
Published: (2024)
SSVT: Self-Supervised Vision Transformer For Eye Disease Diagnosis Based On Fundus Images
by: Wang, Jiaqi, et al.
Published: (2024)
by: Wang, Jiaqi, et al.
Published: (2024)
Vision Transformers and Bi-LSTM for Alzheimer's Disease Diagnosis from 3D MRI
by: Akan, Taymaz, et al.
Published: (2024)
by: Akan, Taymaz, et al.
Published: (2024)
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)
Deep Convolutional Framelet Denoising for Panoramic by Mixed Wavelet Integration
by: Mohammadi, Masoud Shahraki, et al.
Published: (2023)
by: Mohammadi, Masoud Shahraki, et al.
Published: (2023)
Vision Transformer Based Semantic Communications for Next Generation Wireless Networks
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)
by: Mohsin, Muhammad Ahmed, et al.
Published: (2025)
TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting
by: Sharif, Muhammad Hamza, et al.
Published: (2024)
by: Sharif, Muhammad Hamza, et al.
Published: (2024)
Assessing the Efficacy of Classical and Deep Neuroimaging Biomarkers in Early Alzheimer's Disease Diagnosis
by: Nielsen, Milla E., et al.
Published: (2024)
by: Nielsen, Milla E., et al.
Published: (2024)
DynaQuant: Dynamic Mixed-Precision Quantization for Learned Image Compression
by: Bao, Youneng, et al.
Published: (2025)
by: Bao, Youneng, et al.
Published: (2025)
Leveraging Deep Learning and Xception Architecture for High-Accuracy MRI Classification in Alzheimer Diagnosis
by: Li, Shaojie, et al.
Published: (2024)
by: Li, Shaojie, et al.
Published: (2024)
Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization
by: Agarwal, Aman, et al.
Published: (2025)
by: Agarwal, Aman, et al.
Published: (2025)
Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework
by: Afshin, Pouya, et al.
Published: (2025)
by: Afshin, Pouya, et al.
Published: (2025)
Deep Learning-Based Automated Segmentation of Uterine Myomas
by: Saleem, Tausifa Jan, et al.
Published: (2025)
by: Saleem, Tausifa Jan, et al.
Published: (2025)
Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba
by: Malekmohammadi, Amin, et al.
Published: (2024)
by: Malekmohammadi, Amin, et al.
Published: (2024)
Towards More Transparent and Accurate Cancer Diagnosis with an Unsupervised CAE Approach
by: Tabatabaei, Zahra, et al.
Published: (2023)
by: Tabatabaei, Zahra, et al.
Published: (2023)
Pathology-Guided AI System for Accurate Segmentation and Diagnosis of Cervical Spondylosis
by: Zhang, Qi, et al.
Published: (2025)
by: Zhang, Qi, et al.
Published: (2025)
InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning
by: Miah, Md. Asiful Islam, et al.
Published: (2024)
by: Miah, Md. Asiful Islam, et al.
Published: (2024)
Similar Items
-
Unmasking Interstitial Lung Diseases: Leveraging Masked Autoencoders for Diagnosis
by: Dack, Ethan, et al.
Published: (2025) -
Efficient and Accurate Tuberculosis Diagnosis: Attention Residual U-Net and Vision Transformer Based Detection Framework
by: K, Greeshma, et al.
Published: (2025) -
Lung Disease Detection with Vision Transformers: A Comparative Study of Machine Learning Methods
by: Dayan, Baljinnyam
Published: (2024) -
Multilabel Classification for Lung Disease Detection: Integrating Deep Learning and Natural Language Processing
by: Efimovich, Maria, et al.
Published: (2024) -
TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation
by: Iqbal, Shahzaib, et al.
Published: (2024)