Segmentation of Biomedical Images is based on U-Net. This U-Net implementation using Keras and TensorFlow has varying depth that can be specified by model input.

1 College of Information Science and Engineering, Henan University of Technology, Zhengzhou, China 2 Institute for Complexity Science, Henan University of Technology, Zhengzhou, China Tongue is ...

You like it or not, AI-generated art is here to stay. A lot of people have jumped on this wagon and have started creating AI art. If you are one of them, you may want to organize your art, and ChatGPT ...

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 ...

The manuscript introduces an important and innovative non-AI computational method for segmenting noisy grayscale images, with a particular focus on identifying immunostained potassium ion channel ...

Abstract: In this study, image segmentation on Ficus Carica (fig) was developed. Fig fruit image segmentation separates fruit objects by removing the background in the image, including shadow images, ...

Over the past decade, advances in deep learning (DL) have significantly transformed the landscape of biomedical image segmentation and analysis. The state-of-the-art in several domains has been ...