Artificial Intelligence Medical Compendium

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

Showing 25,931 to 25,940 of 217,905 articles

Does Machine Unlearning Preserve Clinical Safety? A Risk Analysis for Medical Image Classification

arXiv Apr 26, 2026
The application of Deep Learning in medical diagnosis must balance patient safety with compliance with data protection regulations. Machine Unlearning enables the selective removal of training data from deployed models. However, most methods are vali... read more 
Artificial Intelligence

Empirical Ablation and Ensemble Optimization of a Convolutional Neural Network for CIFAR-10 Classification

arXiv Apr 26, 2026
Convolutional neural networks (CNNs) remain a central approach in image classification, but their performance depends strongly on architectural and training choices. This paper presents an empirical ablation-based study of CNN optimization for the CI... read more 
Computer Vision and Pattern Recognition cs.AI

Risk-Aware Robust Learning: Reducing Clinical Risk under Label Noise in Medical Image Classification

arXiv Apr 26, 2026
Noisy labels are a pervasive challenge in medical image classification, where annotation errors arise from inter-observer variability and diagnostic ambiguity. Although several noise-robust learning methods have been proposed, their evaluation predom... read more 
Computer Vision and Pattern Recognition cs.AI

Mammographic Lesion Segmentation with Lightweight Models: A Comparative Study

arXiv Apr 26, 2026
Breast cancer is a leading cause of cancer-related mortality among women worldwide, with mammography as the primary screening tool. While deep learning models have shown strong performance in lesion segmentation, most rely on computationally intensiv... read more 
Computer Vision and Pattern Recognition cs.LG

Distributed Electromagnetic Neural Networks for Task-Oriented Semantic Communications

arXiv Apr 26, 2026
Semantic communications (SemCom) is a promising paradigm that prioritizes the transmission of task-relevant information, thereby enabling superior communication efficiency over traditional bit-centric systems. However, most existing SemCom systems fa... read more 
Information Theory

Leveraging Spatial Transcriptomics as Alternative to Manual Annotations for Deep Learning-Based Nuclei Analysis

arXiv Apr 26, 2026
Deep learning-based nuclei segmentation and classification in pathology images typically rely on large-scale pixel-level manual annotations, which are costly and difficult to obtain across diverse tissues and staining conditions. To address this limi... read more 
Computer Vision and Pattern Recognition cs.LG

BurstGP: Enhancing Raw Burst Image Super Resolution with Generative Priors

arXiv Apr 26, 2026
Burst image super resolution (BISR) aims to construct a single high-resolution (HR) image by aggregating information from multiple low-resolution (LR) frames, relying on temporal redundancy and spatial coherence across the burst. While conventional m... read more 
Computer Vision and Pattern Recognition

$Z^2$-Sampling: Zero-Cost Zigzag Trajectories for Semantic Alignment in Diffusion Models

arXiv Apr 26, 2026
Diffusion models have achieved unprecedented success in text-aligned generation, largely driven by Classifier-Free Guidance (CFG). However, standard CFG operates strictly on instantaneous gradients, omitting the intrinsic curvature of the data manifo... read more 
Computer Vision and Pattern Recognition

Oracle Noise: Faster Semantic Spherical Alignment for Interpretable Latent Optimization

arXiv Apr 26, 2026
Text-to-image diffusion models have achieved remarkable generative capabilities, yet accurately aligning complex textual prompts with synthesized layouts remains an ongoing challenge. In these models, the initial Gaussian noise acts as a critical str... read more 
Computer Vision and Pattern Recognition

COMO: Closed-Loop Optical Molecule Recognition with Minimum Risk Training

arXiv Apr 26, 2026
Optical chemical structure recognition (OCSR) translates molecular images into machine-readable representations like SMILES strings or molecular graphs, but remains challenging in real-world documents due to inexhaustible variations in chemical struc... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG
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