Artificial Intelligence Medical Compendium

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

Showing 10,451 to 10,460 of 209,311 articles

BhashaSetu: A Data-Centric Approach to Low-Resource Machine Translation

arXiv May 26, 2026
We present BhashaSetu, a linguistically enriched English--Marathi parallel dataset addressing persistent data limitations in low-resource neural machine translation (NMT). Marathi, spoken by over 95 million people, remains underrepresented in high-qu... read more 
Computation and Language cs.LG

Learning Dynamic Graph Representations through Timespan View Contrasts

arXiv May 26, 2026
The rich information underlying graphs has inspired further investigation of unsupervised graph representation. Existing studies mainly depend on node features and topological properties within static graphs to create self-supervised signals, neglect... read more 
Machine Learning

JLT: Clean-Latent Prediction in Latent Diffusion Transformers

arXiv May 26, 2026
Flow matching with clean-data prediction has shown that regressing the clean point can exploit low-dimensional structure more effectively than predicting an ambient noised quantity. We ask whether this principle remains useful after images are mapped... read more 
Computer Vision and Pattern Recognition cs.LG

YOLO26-RipeLoc Lite: A lightweight architecture for tomato ripeness detection and picking point localization in greenhouse robotic harvesting

arXiv May 26, 2026
In greenhouse tomato production, automated harvesting requires accurate detection of ripe tomatoes, ripeness classification, and precise picking-point localization for robotic end-effectors. This paper proposes YOLO26-RipeLoc Lite, a lightweight deep... read more 
Computer Vision and Pattern Recognition cs.RO

Image Thresholding: Understanding Bias of Evaluation Metrics towards Specific Evaluation Functions

arXiv May 26, 2026
Multilevel image thresholding is widely used for segmentation in applications ranging from medical imaging to remote sensing. Classical objective functions, such as Otsu's between-class variance and Kapur's entropy, are often optimized using metaheur... read more 
Computer Vision and Pattern Recognition

Do Modern Post-Hoc Watermarking Methods Beat Broken-Arrows?

arXiv May 26, 2026
With the rapid proliferation of generative models, such as diffusion models, digital watermarking has emerged as a crucial solution for identifying AI-generated images. Modern post-hoc watermarking schemes use neural networks to achieve an extremely ... read more 
Cryptography and Security cs.CV

Unsupervised Deep Image Prior for Sparse-View and Limited-Angle Electron Tomography

arXiv May 26, 2026
Electron tomography (ET) plays an important role in the three-dimensional (3D) characterization of nanomaterials. However, under limited-angle and sparse-view conditions, conventional algorithms produce degraded reconstructions, which compromise the ... read more 
Image and Video Processing cs.CV physics.ins-det

Is an Image Also Worth 16x16=256 Superpixels? A Framework for Attentional Image Classification

arXiv May 26, 2026
Superpixel-based image classification has traditionally leveraged graph neural networks (GNNs) for processing irregular image representations. Recent advances in computer vision, driven by Vision Transformers (ViTs), have introduced new paradigms in ... read more 
Computer Vision and Pattern Recognition cs.LG

Chaos-SSL: An Attention-Based Self-Supervised Learning Framework with Chaotic Transformation for Medical Image Classification

arXiv May 26, 2026
Self-Supervised Learning (SSL) has emerged as a powerful paradigm to mitigate the reliance on large, annotated datasets, a common bottleneck in medical image analysis. However, standard SSL methods, which rely on simple geometric and color augmentati... read more 
Computer Vision and Pattern Recognition

Semantic Robustness Probing via Inpainting: An Interactive Tool for Safety-Critical Object Detection

arXiv May 26, 2026
Testing object detectors in safety-critical domains requires semantically meaningful probes beyond pixel-level corruptions. We present SemProbe, a tool for semantic robustness probing: users upload deployment images, create masks manually or automati... read more 
Computer Vision and Pattern Recognition cs.AI
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