Abstract: The current variants of the Segment Anything Model (SAM), which include the original SAM and Medical SAM, still lack the capability to produce sufficiently accurate segmentation for medical ...

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...

Google Colab, also known as Colaboratory, is a free online tool from Google that lets you write and run Python code directly in your browser. It works like Jupyter Notebook but without the hassle of ...

VAN-GAN: Vessel Segmentation Generative Adversarial Network. A tool to segment 3D vascular networks without paired training data. Code repository for training a brain tumour U-Net 3D image ...

Accurate and generalizable segmentation of medical images remains a challenging task due to boundary ambiguity and variations across domains. In this paper, an implicit transformer framework with a ...

1 School of Biomedical Engineering, Sichuan University, Chengdu, China 2 National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China ...

Monocular depth estimation involves predicting scene depth from a single RGB image—a fundamental task in computer vision with wide-ranging applications, including augmented reality, robotics, and 3D ...

First, we install three essential libraries: BeautifulSoup4 for parsing HTML content, ipywidgets for creating interactive elements, and pandas for data manipulation and analysis. Running it in your ...

Abstract: Tongue image segmentation is important in tongue diagnosis, oral disease diagnosis, and health monitoring in traditional Chinese medicine (TCM). Traditional image segmentation methods ...

The recent update to Python in Google Colab has made it incompatible with existing codebases that rely on specific Python versions or library versions. Downgrading the Python version using external ...