Artificial Intelligence Medical Compendium

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

Showing 24,081 to 24,090 of 217,366 articles

RayFormer: Modeling Inter- and Intra-Ray Similarity for NeRF-Based Video Snapshot Compressive Imaging

arXiv Apr 30, 2026
Video snapshot compressive imaging (SCI) enables the reconstruction of dynamic scenes from a single snapshot measurement. Recently, NeRF-based methods have shown promising reconstruction performance. However, such methods typically adopt random ray s... read more 
Computer Vision and Pattern Recognition

A generalised pre-training strategy for deep learning networks in semantic segmentation of remotely sensed images

arXiv Apr 30, 2026
In the segmentation of remotely sensed images, deep learning models are typically pre-trained using large image databases like ImageNet before fine-tuned on domain-specific datasets. However, the performance of these fine-tuned models is often hinder... read more 
Computer Vision and Pattern Recognition

Linguistically Informed Multimodal Fusion for Vietnamese Scene-Text Image Captioning: Dataset, Graph Framework, and Phonological Attention

arXiv Apr 30, 2026
Scene-text image captioning requires fusing three information streams -- visual features, OCR-detected text, and linguistic knowledge -- to generate descriptions that faithfully integrate text visible in images. Existing fusion approaches treat text ... read more 
Computer Vision and Pattern Recognition cs.CL

Optimized Deferral for Imbalanced Settings

arXiv Apr 30, 2026
Learning algorithms can be significantly improved by routing complex or uncertain inputs to specialized experts, balancing accuracy with computational cost. This approach, known as learning to defer, is essential in domains like natural language gene... read more 
Machine Learning stat.ML

Differential Subgroup Discovery: Characterizing Where Two Populations Differ, and Why

arXiv Apr 30, 2026
We study the problem of understanding where two populations differ within a feature space, which we formalize in the concept of a differential subgroup: a subset of individuals from both populations who, despite sharing similar characteristics, exhib... read more 
Machine Learning

Learning to Reason: Targeted Knowledge Discovery and Fuzzy Logic Update for Robust Image Recognition

arXiv Apr 30, 2026
Integrating domain knowledge into deep neural networks is a promising way to improve generalization. Existing methods either encode prior knowledge in the loss function or apply post-processing modules, but both depend on identifying useful symbolic ... read more 
Computer Vision and Pattern Recognition cs.AI

GourNet: A CNN-Based Model for Mango Leaf Disease Detection

arXiv Apr 30, 2026
Mango cultivation is crucial in the agricultural sector, significantly contributing to economic development and food security. However, diseases affecting mango leaves can significantly reduce both the production and overall fruit grade. Detecting le... read more 
Computer Vision and Pattern Recognition

Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures

arXiv Apr 30, 2026
The rapid proliferation of image generation models and other artificial intelligence (AI) systems has intensified concerns regarding data privacy and user consent. As the availability of public datasets declines, major technology companies increasing... read more 
Computer Vision and Pattern Recognition cs.CR cs.LG

Hyper-Dimensional Fingerprints as Molecular Representations

arXiv Apr 30, 2026
Computational molecular representations underpin virtual screening, property prediction, and materials discovery. Conventional fingerprints are efficient and deterministic but lose structural information through hash-based compression, particularly a... read more 
Machine Learning

Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs

arXiv Apr 30, 2026
Convolutional Neural Networks (CNNs) are widely assumed to be translation-invariant, yet standard architectures exhibit a startling fragility: even a single-pixel shift can drastically degrade performance due to their reliance on spatially dependent ... read more 
Computer Vision and Pattern Recognition
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