Scientific Research Publishing

H-UQ-MFF: Hybrid Uncertainty-Aware Multi-Feature Fusion for Clinically-Translatable Glaucoma Detection with FDA-Compliant Validation ()

Although artificial intelligence (AI) has demonstrated potential in automating glaucoma screening, there is still a ...
GitHub

Annotated object detection dataset with bounding boxes for training YOLO, R-CNN, and other object detection models.

object-detection-dataset/ ├── train/ │ ├── images/ # 800 training images │ │ ├── image_001.jpg │ │ ├── image_002.jpg ...
GitHub

Missing Style Labels in StyleGallery Dataset

In the paper, Figure 6 demonstrates that StyleGallery contains comprehensive and well-balanced style images. However, the released StyleGallery.jsonl file (from here) does not include style name ...
IEEE

Ensemble Strategy for Underwater Image Quality Assessment and Dataset Construction

Abstract: Learning-based Underwater Image Enhancement (UIE) methods have made significant progress. Limited by the manual label selection process, the limited quantity and outdated label quality of ...
BioSpace

Reviva Announces Positive Full Dataset for 1-Year Phase 3 RECOVER Open Label Extension Study Evaluating Brilaroxazine in Schizophrenia

– Virtual investor webcast today at 8:00 a.m. EDT – CUPERTINO, Calif., June 02, 2025 (GLOBE NEWSWIRE) -- Reviva Pharmaceuticals Holdings, Inc. (NASDAQ: RVPH) (“Reviva” or the “Company”), a late-stage ...
IEEE

Label-Augmented Dataset Distillation

Abstract: Traditional dataset distillation primarily focuses on image representation while often overlooking the important role of labels. In this study, we introduce Label-Augmented Dataset ...
Frontiers

Dual consistent pseudo label generation for multi-source domain adaptation without source data for medical image segmentation

Unsupervised domain adaptation (UDA) aims to adapt a model learned from the source domain to the target domain. Thus, the model can obtain transferable knowledge even in target domain that does not ...