Latest Research in COVID-19 diagnosis using AI
11 research papers · 2026 median publication year
Top Research Topics in COVID-19 diagnosis using AI
- Computer Vision and Pattern Recognition — 4 papers
- COVID-19 diagnosis using AI — 3 papers
- Advanced Neural Network Applications — 1 papers
- Colorectal Cancer Screening and Detection — 1 papers
- Machine Learning — 1 papers
- Brain Tumor Detection and Classification — 1 papers
Highest-Cited Papers
- Benchmarking foundation models for tumor segmentation across multiple cancer types
- FreqDINO++: A Frequency-Guided Multi-Task Routing Vision Foundation Model for Universal Ultrasound Analysis
- VLSI-Accelerated Chest X-Ray Image Segmentation using Adaptive Hybrid Clustering: MATLAB–FPGA Co-Design and Performance Evaluation
- Beyond Accuracy: Uncertainty-Guided Boundary Refinement for Reliable Biomedical Image Segmentation
- ASAM2-UNet: An Attention-Enhanced SAM2 U-Net for Polyp Segmentation
- CGSM: Concept-Guided Segmentation Model for Precise Pulmonary Lesion Delineation
- GRIPNet: Gaussian Radial Intensity Prior Guided Architecture for Pulmonary Nodule Detection in CT
- Multi-Task Learning with Covariate-Overlap Regularization
- Meta-domain adaptive framework for efficient diagnostic assessment of lung infection using CT radiographs
- Hybrid MobileNetV2–vision transformer approach for multi-label classification of chest X-rays
- 48 Enabling paediatric optic pathway glioma segmentation via adult tumour transfer learning