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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Xiao-Jun Wu

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Open access 2026

Collaborative Boundary Enhancement With Difficulty Awareness for Semi-Supervised Medical Image Segmentation

Semi-supervised medical image segmentation aims to reduce the burden of manual annotation by leveraging a limited set of labeled data along with a large collection of unlabeled images, while maintaining reliable segmentation performance for clinical use. However, most existing methods neglect the consistency of boundar...

Qiu-Chi He, Tao Zhou, Tian-Yang Xu et al. · 0 citations
#artificial intelligence Preprint Apr 2025

Clinician-Friendly Foundation Models for Ophthalmic Image Diagnostics without Fine-Tuning or Technical Barriers

GlobeReady is developed, a deployment-oriented platform powered by the RetiGlobe model and local feature augmentation that evaluates domain generalisability, Bayesian uncertainty quantification, out-of-distribution (OOD) detection, and feature-based case retrieval in medical imaging diagnostics.

Meng Wang, Tian Lin, Qing-Shan Hou et al. · 1 citation
Jul 2026

Probabilistic Embeddings With Evidence Learning and Refinement for Text–Video Retrieval

This paper studies the problem of text-video retrieval, where the goal is to learn accurate cross-modal alignment between videos and text. This problem is challenging because of the matching ambiguity caused by the inherent gap between the heterogeneous video and text modalities. In particular, the differences in the i...

Dong-Lin Zhang, Zheng-Hao Rao, Xing Xu et al. · 0 citations

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