Artificial Intelligence Medical Compendium

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

Showing 30,121 to 30,130 of 220,100 articles

SegMix:Shuffle-based Feedback Learning for Semantic Segmentation of Pathology Images

arXiv Apr 17, 2026
Segmentation is a critical task in computational pathology, as it identifies areas affected by disease or abnormal growth and is essential for diagnosis and treatment. However, acquiring high-quality pixel-level supervised segmentation data requires ... read more 
Computer Vision and Pattern Recognition cs.AI

Beyond a Single Frame: Multi-Frame Spatially Grounded Reasoning Across Volumetric MRI

arXiv Apr 17, 2026
Spatial reasoning and visual grounding are core capabilities for vision-language models (VLMs), yet most medical VLMs produce predictions without transparent reasoning or spatial evidence. Existing benchmarks also evaluate VLMs on isolated 2D images,... read more 
Computer Vision and Pattern Recognition cs.AI

Aligning What Vision-Language Models See and Perceive with Adaptive Information Flow

arXiv Apr 17, 2026
Vision-Language Models (VLMs) have demonstrated strong capability in a wide range of tasks such as visual recognition, document parsing, and visual grounding. Nevertheless, recent work shows that while VLMs often manage to capture the correct image r... read more 
Computer Vision and Pattern Recognition

Watching Movies Like a Human: Egocentric Emotion Understanding for Embodied Companions

arXiv Apr 17, 2026
Embodied robotic agents often perceive movies through an egocentric screen-view interface rather than native cinematic footage, introducing domain shifts such as viewpoint distortion, scale variation, illumination changes, and environmental interfere... read more 
Computer Vision and Pattern Recognition

SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification

arXiv Apr 17, 2026
Hyperspectral imaging enables fine-grained recognition of materials by capturing rich spectral signatures, but learning robust classifiers is challenging due to high dimensionality, spectral redundancy, limited labeled data, and strong domain shifts.... read more 
Computer Vision and Pattern Recognition

Beyond Text Prompts: Precise Concept Erasure through Text-Image Collaboration

arXiv Apr 17, 2026
Text-to-image generative models have achieved impressive fidelity and diversity, but can inadvertently produce unsafe or undesirable content due to implicit biases embedded in large-scale training datasets. Existing concept erasure methods, whether t... read more 
Computer Vision and Pattern Recognition cs.CR

Learning to Look before Learning to Like: Incorporating Human Visual Cognition into Aesthetic Quality Assessment

arXiv Apr 17, 2026
Automated Aesthetic Quality Assessment (AQA) treats images primarily as static pixel vectors, aligning predictions with human-rating scores largely through semantic perception. However, this paradigm diverges from human aesthetic cognition, which ari... read more 
Computer Vision and Pattern Recognition

Robust Multispectral Semantic Segmentation under Missing or Full Modalities via Structured Latent Projection

arXiv Apr 17, 2026
Multimodal remote sensing data provide complementary information for semantic segmentation, but in real-world deployments, some modalities may be unavailable due to sensor failures, acquisition issues, or challenging atmospheric conditions. Existing ... read more 
Computer Vision and Pattern Recognition cs.AI

AHS: Adaptive Head Synthesis via Synthetic Data Augmentations

arXiv Apr 17, 2026
Recent digital media advancements have created increasing demands for sophisticated portrait manipulation techniques, particularly head swapping, where one's head is seamlessly integrated with another's body. However, current approaches predominantly... read more 
Computer Vision and Pattern Recognition

Splats in Splats++: Robust and Generalizable 3D Gaussian Splatting Steganography

arXiv Apr 17, 2026
3D Gaussian Splatting (3DGS) has recently redefined the paradigm of 3D reconstruction, striking an unprecedented balance between visual fidelity and computational efficiency. As its adoption proliferates, safeguarding the copyright of explicit 3DGS a... read more 
Computer Vision and Pattern Recognition
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