Artificial Intelligence Medical Compendium

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

Showing 31,871 to 31,880 of 220,797 articles

A Compact and Efficient 1.251 Million Parameter Machine Learning CNN Model PD36-C for Plant Disease Detection: A Case Study

arXiv Apr 13, 2026
Deep learning has markedly advanced image based plant disease diagnosis as improved hardware and dataset quality have enabled increasingly accurate neural network models. This paper presents PD36 C, a compact convolutional neural network (1,250,694 p... read more 
Computer Vision and Pattern Recognition cs.AI

LoGo-MR: Screening Breast MRI for Cancer Risk Prediction by Efficient Omni-Slice Modeling

arXiv Apr 13, 2026
Efficient and explainable breast cancer (BC) risk prediction is critical for large-scale population-based screening. Breast MRI provides functional information for personalized risk assessment. Yet effective modeling remains challenging as fully 3D C... read more 
Computer Vision and Pattern Recognition

What Do Vision-Language Models Encode for Personalized Image Aesthetics Assessment?

arXiv Apr 13, 2026
Personalized image aesthetics assessment (PIAA) is an important research problem with practical real-world applications. While methods based on vision-language models (VLMs) are promising candidates for PIAA, it remains unclear whether they internall... read more 
Computer Vision and Pattern Recognition cs.CL

From Redaction to Restoration: Deep Learning for Medical Image Anonymization and Reconstruction

arXiv Apr 13, 2026
Removing patient-specific information from medical images is crucial to enable sharing and open science without compromising patient identities. However, many methods currently used for deidentification have negative effects on downstream image analy... read more 
Computer Vision and Pattern Recognition cs.AI

ConvFormer3D-TAP: Phase/Uncertainty-Aware Front-End Fusion for Cine CMR View Classification Pipelines

arXiv Apr 13, 2026
Reliable recognition of standard cine cardiac MRI views is essential because each view determines which cardiac anatomy is visualized and which quantitative analyses can be performed. Incorrect view identification, whether by a human reader or an aut... read more 
Computer Vision and Pattern Recognition

GS4City: Hierarchical Semantic Gaussian Splatting via City-Model Priors

arXiv Apr 13, 2026
Recent semantic 3D Gaussian Splatting (3DGS) methods primarily rely on 2D foundation models, often yielding ambiguous boundaries and limited support for structured urban semantics. While city models such as CityGML encode hierarchically organized sem... read more 
Computer Vision and Pattern Recognition

Scene Change Detection with Vision-Language Representation Learning

arXiv Apr 13, 2026
Scene change detection (SCD) is crucial for urban monitoring and navigation but remains challenging in real-world environments due to lighting variations, seasonal shifts, viewpoint differences, and complex urban layouts. Existing methods rely primar... read more 
Computer Vision and Pattern Recognition

Observe Less, Understand More: Cost-aware Cross-scale Observation for Remote Sensing Understanding

arXiv Apr 13, 2026
Remote sensing understanding inherently requires multi-resolution observation, since different targets and application tasks demand different levels of spatial detail. While low-resolution (LR) imagery enables efficient global observation, high-resol... read more 
Computer Vision and Pattern Recognition

Emulating Non-Differentiable Metrics via Knowledge-Guided Learning: Introducing the Minkowski Image Loss

arXiv Apr 13, 2026
The ``differentiability gap'' presents a primary bottleneck in Earth system deep learning: since models cannot be trained directly on non-differentiable scientific metrics and must rely on smooth proxies (e.g., MSE), they often fail to capture high-f... read more 
Machine Learning cs.AI

HuiYanEarth-SAR: A Foundation Model for High-Fidelity and Low-Cost Global Remote Sensing Imagery Generation

arXiv Apr 13, 2026
Synthetic Aperture Radar (SAR) imagery generation is essential for deepening the study of scattering mechanisms, establishing trustworthy electromagnetic scene models, and fundamentally alleviating the data scarcity bottleneck that constrains develop... read more 
Computer Vision and Pattern Recognition
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