Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Bubble size contains important indication information that is closely related to flotation production conditions and process indicators. However, bubble images often have low contrast, noise, and many ...

Cardiovascular diseases are a leading health concern in Hong Kong, prompting many to undergo regular heart check-ups for ...

Chinese tech company Alibaba has announced its new AI model, Qwen-VLo, which aims to take on rivals like ChatGPT-4o in the area of image generation. Here are the details.

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the disease, but ...

Automatic medical image segmentation is a crucial topic in the medical domain and successively a critical counterpart in the computer-aided diagnosis paradigm. U-Net is the most widespread image ...

Figure 1. Overview of BiomedParse and BiomedParseData. Image parsing: a unifying framework for holistic image analysis Back in 2005, researchers first introduced the concept of “image parsing”—a ...

The script takes an image as input, applies a pre-trained DeepLabV3 model to perform segmentation, and visualizes the segmented image. The model identifies and labels objects within the image using a ...