Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 14,791 to 14,800 of 212,168 articles

QuantSR+: Pushing the Limit of Quantized Image Super-Resolution Networks

arXiv May 21, 2026
Low-bit quantization is widely used to compress super-resolution (SR) models and reduce storage and computation costs for deployment on resource-limited devices. However, when SR models are pushed to ultra-low precision (2-4 bits), performance can dr... read more 
Computer Vision and Pattern Recognition

VEELA: A Clinically-Constrained Benchmark for Liver Vessel Segmentation in Computed Tomography Angiography

arXiv May 21, 2026
Accurate segmentation of hepatic and portal vessels in contrast-enhanced computed tomography angiography (CTA) remains challenging due to complex vascular topology, peripheral visibility limitations, and acquisition-induced ambiguities. While existin... read more 
Computer Vision and Pattern Recognition cs.AI

AgroTools: A Benchmark for Tool-Augmented Multimodal Agents in Agriculture

arXiv May 21, 2026
Agricultural decision-making increasingly requires multimodal systems that can transform visual observations into reliable, executable actions. However, existing agricultural multimodal benchmarks mainly evaluate final-answer correctness and provide ... read more 
Computer Vision and Pattern Recognition

ASAP: Attention Sink Anchored Pruning

arXiv May 21, 2026
Vision Transformers (ViTs) face severe computational bottlenecks due to the quadratic complexity of self-attention at high resolutions. Existing token reduction methods rely on local metrics - such as single-layer attention scores - that are inherent... read more 
Machine Learning

Towards Clinically Interpretable Ophthalmic VQA via Spatially-Grounded Lesion Evidence

arXiv May 21, 2026
Visual Question Answering (VQA) holds great promise for clinical support, particularly in ophthalmology, where retinal fundus photography is essential for diagnosis. However, ophthalmic VQA benchmarks primarily emphasize answer accuracy, neglecting t... read more 
Computer Vision and Pattern Recognition cs.AI

Moment-Reenacting: Inverse Motion Degradation with Cross-shutter Guidance

arXiv May 21, 2026
Motion degradation, manifested as blur in global shutter (GS) images or rolling shutter (RS) distortion in RS counterparts, remains a fundamental challenge in computational imaging, especially under fast motion or low-light conditions. While prior wo... read more 
Computer Vision and Pattern Recognition

Making the Discrete Continuous: Synthetic RAW Augmentations for Fine-Grained Evaluation of Person Detection Performance in Low Light

arXiv May 21, 2026
Real-world deployment of AI vision models is both fueled and limited by the data available for training and testing. Real datasets are sparse and uneven: long-tailed or unbalanced distributions hinder generalization, and the low number of samples in ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG physics.optics

SADGE: Structure and Appearance Domain Gap Estimation of Synthetic and Real Data

arXiv May 21, 2026
We propose SADGE, a quantitative similarity metric that predicts the performance of synthetic image datasets for common computer vision tasks without downstream model training. Estimating whether a synthetic dataset will lead to a model that performs... read more 
Computer Vision and Pattern Recognition

BioFormer: Rethinking Cross-Subject Generalization via Spectral Structural Alignment in Biomedical Time-Series

arXiv May 21, 2026
Cross-subject generalization in biomedical time-series refers to training on data from some subjects and testing on unseen subjects.The key challenge is to suppress subject specific variability in BTS representations.Most existing methods implicitly ... read more 
Machine Learning cs.AI

MaSC: A Masked Similarity Metric for Evaluating Concept-Driven Generation

arXiv May 21, 2026
Evaluating single-concept personalization in text-to-image diffusion requires measuring both concept preservation, which captures identity fidelity to a reference, and prompt following, which captures whether the generated scene matches the prompt. E... read more 
Computer Vision and Pattern Recognition
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