Artificial Intelligence Medical Compendium

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

Showing 28,621 to 28,630 of 219,260 articles

Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework

arXiv Apr 20, 2026
Automated medical report generation for 3D PET/CT imaging is fundamentally challenged by the high-dimensional nature of volumetric data and a critical scarcity of annotated datasets, particularly for low-resource languages. Current black-box methods ... read more 
Computer Vision and Pattern Recognition cs.AI

Attention-ResUNet for Automated Fetal Head Segmentation

arXiv Apr 20, 2026
Automated fetal head segmentation in ultrasound images is critical for accurate biometric measurements in prenatal care. While existing deep learning approaches have achieved a reasonable performance, they struggle with issues like low contrast, nois... read more 
Computer Vision and Pattern Recognition cs.LG

mlr3torch: A Deep Learning Framework in R based on mlr3 and torch

arXiv Apr 20, 2026
Deep learning (DL) has become a cornerstone of modern machine learning (ML) praxis. We introduce the R package mlr3torch, which is an extensible DL framework for the mlr3 ecosystem. It is built upon the torch package, and simplifies the definition, t... read more 
Machine Learning cs.LG

MM-JudgeBias: A Benchmark for Evaluating Compositional Biases in MLLM-as-a-Judge

arXiv Apr 20, 2026
Multimodal Large Language Models (MLLMs) have been increasingly used as automatic evaluators-a paradigm known as MLLM-as-a-Judge. However, their reliability and vulnerabilities to biases remain underexplored. We find that many MLLM judges fail to rel... read more 
Computation and Language cs.AI cs.CV

Embedding Arithmetic: A Lightweight, Tuning-Free Framework for Post-hoc Bias Mitigation in Text-to-Image Models

arXiv Apr 20, 2026
Modern text-to-image (T2I) models amplify harmful societal biases, challenging their ethical deployment. We introduce an inference-time method that reliably mitigates social bias while keeping prompt semantics and visual context (background, layout, ... read more 
Computer Vision and Pattern Recognition

Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation

arXiv Apr 20, 2026
Few-step generation has been a long-standing goal, with recent one-step generation methods exemplified by MeanFlow achieving remarkable results. Existing research on MeanFlow primarily focuses on class-to-image generation. However, an intuitive yet u... read more 
Computer Vision and Pattern Recognition

DiffuSAM: Diffusion Guided Zero-Shot Object Grounding for Remote Sensing Imagery

arXiv Apr 20, 2026
Diffusion models have emerged as powerful tools for a wide range of vision tasks, including text-guided image generation and editing. In this work, we explore their potential for object grounding in remote sensing imagery. We propose a hybrid pipelin... read more 
Computer Vision and Pattern Recognition cs.LG

A Comparative Evaluation of Geometric Accuracy in NeRF and Gaussian Splatting

arXiv Apr 20, 2026
Recent advances in neural rendering have introduced numerous 3D scene representations. Although standard computer vision metrics evaluate the visual quality of generated images, they often overlook the fidelity of surface geometry. This limitation is... read more 
Computer Vision and Pattern Recognition cs.RO

Towards Symmetry-sensitive Pose Estimation: A Rotation Representation for Symmetric Object Classes

arXiv Apr 20, 2026
Symmetric objects are common in daily life and industry, yet their inherent orientation ambiguities that impede the training of deep learning networks for pose estimation are rarely discussed in the literature. To cope with these ambiguities, existin... read more 
Computer Vision and Pattern Recognition math.GT

Is SAM3 ready for pathology segmentation?

arXiv Apr 20, 2026
Is Segment Anything Model 3 (SAM3) capable in segmenting Any Pathology Images? Digital pathology segmentation spans tissue-level and nuclei-level scales, where traditional methods often suffer from high annotation costs and poor generalization. SAM3 ... read more 
Computer Vision and Pattern Recognition cs.AI
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