Cover Image

Portable Medical Imaging in Modern Healthcare: Fundamentals, AI-Based Taxonomy, Image Quality, and Open Challenges

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Habchi, Yassine, Kheddar, Hamza, Qureshi, Muhammad Ali, Seghier, Mohamed, Beghdadi, Azeddine
Format:	Preprint
Published:	2026
Subjects:	Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Machine Learning and Transformers for Thyroid Carcinoma Diagnosis: A Review
by: Habchi, Yassine, et al.
Published: (2024)

BreathAI: Transfer Learning-Based Thermal Imaging for Automated Breathing Pattern Recognition
by: Kheddar, Hamza, et al.
Published: (2026)

Recent Advances in Transformer and Large Language Models for UAV Applications
by: Kheddar, Hamza, et al.
Published: (2025)

Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection
by: Habchi, Yassine, et al.
Published: (2025)

Deep Transfer Learning for Kidney Cancer Diagnosis
by: Habchi, Yassine, et al.
Published: (2024)

Image and Point-cloud Classification for Jet Analysis in High-Energy Physics: A survey
by: Kheddar, Hamza, et al.
Published: (2024)

Enhancing Medical Image Analysis through Geometric and Photometric transformations
by: Rais, Khadija, et al.
Published: (2025)

EMeRALDS: Electronic Medical Record Driven Automated Lung Nodule Detection and Classification in Thoracic CT Images
by: Eman, Hafza, et al.
Published: (2025)

BSoNet: Deep Learning Solution for Optimizing Image Quality of Portable Backscatter Imaging Systems
by: Li, Linxuan, et al.
Published: (2026)

Exploring Variational Autoencoders for Medical Image Generation: A Comprehensive Study
by: Rais, Khadija, et al.
Published: (2024)

High-Quality and Large-Scale Image Downscaling for Modern Display Devices
by: Mitra, Suvrojit, et al.
Published: (2025)

Active Learning on Medical Image
by: Biswas, Angona, et al.
Published: (2023)

Diffusion-Based Quality Control of Medical Image Segmentations across Organs
by: Marcianò, Vincenzo, et al.
Published: (2025)

Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives
by: Essaid, Billel, et al.
Published: (2024)

Deep Learning for Steganalysis of Diverse Data Types: A review of methods, taxonomy, challenges and future directions
by: Kheddar, Hamza, et al.
Published: (2023)

DB-SAM: Delving into High Quality Universal Medical Image Segmentation
by: Qin, Chao, et al.
Published: (2024)

Standardizing Medical Images at Scale for AI
by: MacPhee, Callen, et al.
Published: (2026)

CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation
by: Zhou, Yirong, et al.
Published: (2022)

Sequential Diffusion-Guided Deep Image Prior For Medical Image Reconstruction
by: Liang, Shijun, et al.
Published: (2024)

Physics-Embedded Feature Learning for AI in Medical Imaging
by: Das, Pulock, et al.
Published: (2026)

A Survey on Medical Image Compression: From Traditional to Learning-Based Approaches
by: Tong, Guofeng, et al.
Published: (2025)

Image-Guided Surgery: Technology, Quality, Innovation, and Opportunities for Medical Physics
by: Siewerdsen, Jeffrey H.
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)

Vision-Inspired Image Quality Assessment for Radar-Based Human Activity Representations
by: Trinh, Huy, et al.
Published: (2026)

Dante: An Open Source Model Pre-Training and Fine-Tuning Tool for the Dafne Federated Framework for Medical Image Segmentation
by: Timpano, Giuseppe, et al.
Published: (2026)

A Portable Brain MRI Scanner for Underserved Settings and Point-Of-Care Imaging
by: Cooley, Clarissa Z., et al.
Published: (2020)

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

IMIL: Interactive Medical Image Learning Framework
by: Rao, Adrit, et al.
Published: (2024)

Segmentation Quality and Volumetric Accuracy in Medical Imaging
by: Zhang, Zheyuan, et al.
Published: (2024)

Radiomics in Medical Imaging: Methods, Applications, and Challenges
by: Neha, Fnu, et al.
Published: (2026)

Quantum Generative Learning for High-Resolution Medical Image Generation
by: Khatun, Amena, et al.
Published: (2024)

Enhancing Content Representation for AR Image Quality Assessment Using Knowledge Distillation
by: Sekhri, Aymen, et al.
Published: (2024)

Color-Quality Invariance for Robust Medical Image Segmentation
by: Shah, Ravi, et al.
Published: (2025)

Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image Classification
by: Nabavi, Shahabedin, et al.
Published: (2024)

OncoReg: Medical Image Registration for Oncological Challenges
by: Heyer, Wiebke, et al.
Published: (2025)

A Comprehensive Review of Techniques, Algorithms, Advancements, Challenges, and Clinical Applications of Multi-modal Medical Image Fusion for Improved Diagnosis
by: Zubair, Muhammad, et al.
Published: (2025)

Versatile Volumetric Medical Image Coding for Human-Machine Vision
by: Chen, Jietao, et al.
Published: (2024)

MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging
by: Codella, Noel C. F., et al.
Published: (2024)

Deep Learning Techniques for Hand Vein Biometrics: A Comprehensive Review
by: Hemis, Mustapha, et al.
Published: (2024)

Foundation AI Model for Medical Image Segmentation
by: Bao, Rina, et al.
Published: (2024)