Photoshop cc tutorial showing how to merge together multiple source photos into one seamless image using Photomerge. This ...

Abstract: Medical image segmentation is critical for disease diagnosis and treatment assessment. However, concerns regarding the reliability of segmentation regions persist among clinicians, mainly ...

Founded by former OpenAI staff members and funded by Amazon and Google, Anthropic has raised the stakes in the GPT wars. Anthropic's Claude Desktop app often outshines its ChatGPT rival in various ...

A new artificial intelligence (AI) tool could make it much easier-and cheaper-for doctors and researchers to train medical imaging software, even when only a small number of patient scans are ...

Introduction: Laryngeal high-speed video (HSV) is a widely used technique for diagnosing laryngeal diseases. Among various analytical approaches, segmentation of glottis regions has proven effective ...

tumor cases and BI-RADS annotations in categories 2, 3, 4, and 5. In addition, the dataset also contains ground truth delineations that divide the BUS images into tumoral and normal regions. If you ...

In the following, I will try to tell you a bit of my “story” about how I read through the various layers and (partly outdated) tutorials on image augmentation for semantic segmentation, what problems ...

Abstract: Segment Anything Model (SAM) is a foundational image segmentation model, which shows superior performance for natural image segmentation tasks. Several SAM-based medical image segmentations ...