Artificial Intelligence Medical Compendium

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

Showing 32,431 to 32,440 of 221,076 articles

WBCBench 2026: A Challenge for Robust White Blood Cell Classification Under Class Imbalance

arXiv Apr 12, 2026
We present WBCBench 2026, an ISBI challenge and benchmark for automated WBC classification designed to stress-test algorithms under three key difficulties: (i) severe class imbalance across 13 morphologically fine-grained WBC classes, (ii) strict pat... read more 
Computer Vision and Pattern Recognition

Analytical Modeling and Correction of Distance Error in Homography-Based Ground-Plane Mapping

arXiv Apr 12, 2026
Accurate distance estimation from monocular cameras is essential for intelligent monitoring systems. In many deployments, image coordinates are mapped to ground positions using planar homographies initialized by manual selection of corresponding regi... read more 
Computer Vision and Pattern Recognition

Uncertainty-Guided Attention and Entropy-Weighted Loss for Precise Plant Seedling Segmentation

arXiv Apr 12, 2026
Plant seedling segmentation supports automated phenotyping in precision agriculture. Standard segmentation models face difficulties due to intricate background images and fine structures in leaves. We introduce UGDA-Net (Uncertainty-Guided Dual Atten... read more 
Computer Vision and Pattern Recognition cs.LG

Immune2V: Image Immunization Against Dual-Stream Image-to-Video Generation

arXiv Apr 12, 2026
Image-to-video (I2V) generation has the potential for societal harm because it enables the unauthorized animation of static images to create realistic deepfakes. While existing defenses effectively protect against static image manipulation, extending... read more 
Computer Vision and Pattern Recognition

Retinal Cyst Detection from Optical Coherence Tomography Images

arXiv Apr 12, 2026
Retinal Cysts are formed by leakage and accumulation of fluid in the retina due to the incompetence of retinal vasculature. These cystic spaces have significance in several ocular diseases such as age-related macular degeneration, diabetic macular ed... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG cs.NE

Diagnostic accuracy and deployment readiness of AI for burn depth assessment across imaging modalities: a PRISMA-DTA systematic review and meta-analysis.

International journal of medical informatics Apr 12, 2026
BACKGROUND: AI-based burn depth assessment is rapidly emerging, yet evidence for diagnostic accuracy, generalizability, and deployment readiness remains unclear. METHODS: We performed a PRISMA-DTA-aligned systematic review and meta-analysis. We synth... read more 

Incremental value of deep learning denoising in low-dose coronary CT angiography in predominantly obese patients.

European journal of radiology Apr 12, 2026
OBJECTIVE: To determine the added value of post-hoc convolutional neural network (CNN)-based denoising for low-radiation coronary CT angiography (CCTA). METHODS: In this IRB-approved, post-hoc study, consecutive patients underwent clinically indicate... read more 

Extrapyramidal symptom severity across machine learning-derived neuroanatomical subtypes of schizophrenia.

Psychiatry research. Neuroimaging Apr 12, 2026
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pHLA-Bi-Mamba: A pan-specific deep learning model for peptide-HLA-Ⅰ binding affinity and eluted ligand prediction.

Biochemical and biophysical research communications Apr 12, 2026
Human leukocyte antigen class I (HLA-I) molecules are central to immunosurveillance, and accurate prediction of peptide-HLA-I binding is critical for immune target discovery and personalized immunotherapies. Although Transformer-based deep learning m... read more 

Trusted polyp segmentation via multi-scale evidence ensemble in colonoscopy images.

International journal of computer assisted radiology and surgery Apr 12, 2026
PURPOSE: Accurate and reliable polyp segmentation is essential for early colorectal cancer detection. Although recent methods employing multi-scale feature aggregation have achieved high accuracy, their reliability in challenging clinical scenarios r... read more 
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