Artificial Intelligence Medical Compendium

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

Showing 34,091 to 34,100 of 221,510 articles

Unifying VLM-Guided Flow Matching and Spectral Anomaly Detection for Interpretable Veterinary Diagnosis

arXiv Apr 7, 2026
Automatic diagnosis of canine pneumothorax is challenged by data scarcity and the need for trustworthy models. To address this, we first introduce a public, pixel-level annotated dataset to facilitate research. We then propose a novel diagnostic para... read more 
Computer Vision and Pattern Recognition cs.AI

CLIP-Guided Data Augmentation for Night-Time Image Dehazing

arXiv Apr 7, 2026
Nighttime image dehazing faces a more complex degradation pattern than its daytime counterpart, as haze scattering couples with low illumination, non-uniform lighting, and strong light interference. Under limited supervision, this complexity aggravat... read more 
Computer Vision and Pattern Recognition

Geometrical Cross-Attention and Nonvoid Voxelization for Efficient 3D Medical Image Segmentation

arXiv Apr 7, 2026
Accurate segmentation of 3D medical scans is crucial for clinical diagnostics and treatment planning, yet existing methods often fail to achieve both high accuracy and computational efficiency across diverse anatomies and imaging modalities. To addre... read more 
Computer Vision and Pattern Recognition

Learned Elevation Models as a Lightweight Alternative to LiDAR for Radio Environment Map Estimation

arXiv Apr 7, 2026
Next-generation wireless systems such as 6G operate at higher frequency bands, making signal propagation highly sensitive to environmental factors such as buildings and vege- tation. Accurate Radio Environment Map (REM) estimation is therefore increa... read more 
Signal Processing cs.AI

Cross-Resolution Diffusion Models via Network Pruning

arXiv Apr 7, 2026
Diffusion models have demonstrated impressive image synthesis performance, yet many UNet-based models are trained at certain fixed resolutions. Their quality tends to degrade when generating images at out-of-training resolutions. We trace this issue ... read more 
Computer Vision and Pattern Recognition

Prior-guided Fusion of Multimodal Features for Change Detection from Optical-SAR Images

arXiv Apr 7, 2026
Multimodal change detection (MMCD) identifies changed areas in multimodal remote sensing (RS) data, demonstrating significant application value in land use monitoring, disaster assessment, and urban sustainable development. However, literature MMCD a... read more 
Computer Vision and Pattern Recognition

EchoAgent: Towards Reliable Echocardiography Interpretation with "Eyes","Hands" and "Minds"

arXiv Apr 7, 2026
Reliable interpretation of echocardiography (Echo) is crucial for assessing cardiac function, which demands clinicians to synchronously orchestrate multiple capabilities, including visual observation (eyes), manual measurement (hands), and expert kno... read more 
Computer Vision and Pattern Recognition

High-Resolution Single-Shot Polarimetric Imaging Made Easy

arXiv Apr 7, 2026
Polarization-based vision has gained increasing attention for providing richer physical cues beyond RGB images. While achieving single-shot capture is highly desirable for practical applications, existing Division-of-Focal-Plane (DoFP) sensors inhere... read more 
Computer Vision and Pattern Recognition

WRF4CIR: Weight-Regularized Fine-Tuning Network for Composed Image Retrieval

arXiv Apr 7, 2026
Composed Image Retrieval (CIR) task aims to retrieve target images based on reference images and modification texts. Current CIR methods primarily rely on fine-tuning vision-language pre-trained models. However, we find that these approaches commonly... read more 
Computer Vision and Pattern Recognition

BPC-Net: Annotation-Free Skin Lesion Segmentation via Boundary Probability Calibration

arXiv Apr 7, 2026
Annotation-free skin lesion segmentation is attractive for low-resource dermoscopic deployment. However, its performance remains constrained by three coupled challenges: noisy pseudo-label supervision, unstable transfer under limited target-domain da... read more 
Computer Vision and Pattern Recognition
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