Copertina

A Deep Learning Framework for Real-Time Image Processing in Medical Diagnostics: Enhancing Accuracy and Speed in Clinical Applications

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Filvantorkaman, Melika, Torkaman, Maral Filvan
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Robust Pre-Training of Medical Vision-and-Language Models with Domain-Invariant Multi-Modal Masked Reconstruction
di: Filvantorkaman, Melika, et al.
Pubblicazione: (2026)

EndoSight AI: Deep Learning-Driven Real-Time Gastrointestinal Polyp Detection and Segmentation for Enhanced Endoscopic Diagnostics
di: Cavadia, Daniel
Pubblicazione: (2025)

Edge Deep Learning in Computer Vision and Medical Diagnostics: A Comprehensive Survey
di: Xu, Yiwen, et al.
Pubblicazione: (2026)

SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging
di: Shen, Lingdong, et al.
Pubblicazione: (2024)

From Redaction to Restoration: Deep Learning for Medical Image Anonymization and Reconstruction
di: Kline, Adrienne, et al.
Pubblicazione: (2026)

Explainable Deep Learning in Medical Imaging: Brain Tumor and Pneumonia Detection
di: Erukude, Sai Teja, et al.
Pubblicazione: (2025)

CHEM: Estimating and Understanding Hallucinations in Deep Learning for Image Processing
di: Li, Jianfei, et al.
Pubblicazione: (2025)

Deep Learning-Based Computer Vision Models for Early Cancer Detection Using Multimodal Medical Imaging and Radiogenomic Integration Frameworks
di: Oghenekaro, Emmanuella Avwerosuoghene
Pubblicazione: (2025)

MedROV: Towards Real-Time Open-Vocabulary Detection Across Diverse Medical Imaging Modalities
di: Sheikh, Tooba Tehreem, et al.
Pubblicazione: (2025)

Automated Processing of eXplainable Artificial Intelligence Outputs in Deep Learning Models for Fault Diagnostics of Large Infrastructures
di: Floreale, Giovanni, et al.
Pubblicazione: (2025)

Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions
di: Jin, Cheng, et al.
Pubblicazione: (2023)

MAESIL: Masked Autoencoder for Enhanced Self-supervised Medical Image Learning
di: Kim, Kyeonghun, et al.
Pubblicazione: (2026)

Research on Intelligent Aided Diagnosis System of Medical Image Based on Computer Deep Learning
di: Yuan, Jiajie, et al.
Pubblicazione: (2024)

GRAFNet: Multiscale Retinal Processing via Guided Cortical Attention Feedback for Enhancing Medical Image Polyp Segmentation
di: Fofanah, Abdul Joseph, et al.
Pubblicazione: (2026)

Bridging Accuracy and Interpretability: Deep Learning with XAI for Breast Cancer Detection
di: Chhetri, Bishal, et al.
Pubblicazione: (2025)

Risk-Aware Robust Learning: Reducing Clinical Risk under Label Noise in Medical Image Classification
di: Pereira, Maycon R. S., et al.
Pubblicazione: (2026)

Real Time Deep Learning Weapon Detection Techniques for Mitigating Lone Wolf Attacks
di: Akhila, Kambhatla, et al.
Pubblicazione: (2024)

A Multimodal Deep Learning Framework for Edema Classification Using HCT and Clinical Data
di: Ogholbake, Aram Ansary, et al.
Pubblicazione: (2026)

PulseMind: A Multi-Modal Medical Model for Real-World Clinical Diagnosis
di: Xu, Jiao, et al.
Pubblicazione: (2026)

Deep Learning Applications in Medical Image Analysis: Advancements, Challenges, and Future Directions
di: Eli, Aimina Ali, et al.
Pubblicazione: (2024)

Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation
di: Iele, Irene, et al.
Pubblicazione: (2025)

Cross Modality Image Translation In Medical Imaging Using Generative Frameworks
di: Romoli, Giulia, et al.
Pubblicazione: (2026)

An Effective Weight Initialization Method for Deep Learning: Application to Satellite Image Classification
di: Boulila, Wadii, et al.
Pubblicazione: (2024)

An Artifact-based Agent Framework for Adaptive and Reproducible Medical Image Processing
di: Zuo, Lianrui, et al.
Pubblicazione: (2026)

Enhancing Orthopox Image Classification Using Hybrid Machine Learning and Deep Learning Models
di: Puente-Castro, Alejandro, et al.
Pubblicazione: (2025)

SPEGC: Continual Test-Time Adaptation via Semantic-Prompt-Enhanced Graph Clustering for Medical Image Segmentation
di: Du, Xiaogang, et al.
Pubblicazione: (2026)

The Era of Foundation Models in Medical Imaging is Approaching : A Scoping Review of the Clinical Value of Large-Scale Generative AI Applications in Radiology
di: Seo, Inwoo, et al.
Pubblicazione: (2024)

Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning
di: Chen, Liuqing, et al.
Pubblicazione: (2025)

Real-Time Object Detection in Occluded Environment with Background Cluttering Effects Using Deep Learning
di: Aamir, Syed Muhammad, et al.
Pubblicazione: (2024)

Near--Real-Time Conflict-Related Fire Detection in Sudan Using Unsupervised Deep Learning
di: Atwal, Kuldip Singh, et al.
Pubblicazione: (2025)

Learning from Disagreement: A Group Decision Simulation Framework for Robust Medical Image Segmentation
di: Zhong, Chen, et al.
Pubblicazione: (2025)

A Lightweight Face Quality Assessment Framework to Improve Face Verification Performance in Real-Time Screening Applications
di: Ibrahim, Ahmed Aman, et al.
Pubblicazione: (2025)

Sam-Guided Enhanced Fine-Grained Encoding with Mixed Semantic Learning for Medical Image Captioning
di: Zhang, Zhenyu, et al.
Pubblicazione: (2023)

Integrating Medical Imaging and Clinical Reports Using Multimodal Deep Learning for Advanced Disease Analysis
di: Yao, Ziyan, et al.
Pubblicazione: (2024)

DINOv3 with Test-Time Training for Medical Image Registration
di: Wang, Shansong, et al.
Pubblicazione: (2025)

Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework
di: Nguyen, Cong Huy, et al.
Pubblicazione: (2026)

Accelerating Object Detection with YOLOv4 for Real-Time Applications
di: Kumar, K. Senthil, et al.
Pubblicazione: (2024)

Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentation
di: Chen, Yulin, et al.
Pubblicazione: (2024)

An Efficient Deep Learning Framework for Brain Stroke Diagnosis Using Computed Tomography Images
di: Hossen, Md. Sabbir, et al.
Pubblicazione: (2025)