Overview of deep learning-based cell image analysis. A typical analysis pipeline consists of a retraining module and an inference module: the inference module directly produces estimated metrics.

Recent advancements in deep learning have transformed the analysis of blood cell images and the classification of leukemia. By employing complex neural network architectures, such as convolutional ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...

Completed phase 1a dose escalation study of the first oral ENPP1 inhibitor RBS2418 immunotherapy in subjects with metastatic solid tumors. SECN-15: A novel treatment option for patients with ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

The cochlea is the spiral-shaped structure within the inner ear responsible for our sense of hearing. To fully understand hearing functions and open the door to new hearing loss treatments, scientists ...

The cochlea is the spiral-shaped structure within the inner ear responsible for our sense of hearing. To fully understand ...

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in large radiographic collections. By automatically verifying body-part, ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...