Google has announced the Google Colab CLI, a command-line tool that allows developers and AI agents to interact with remote ...
1 Laboratory of Studies and Tests in Civil Engineering (L2EGC), National University of Sciences, Technologies, Engineering and Mathematics, Abomey, Benin. 2 Laboratory of Applied Energetic and ...
This repository provides an end-to-end pipeline for medical image segmentation using deep learning. Implemented in Python with TensorFlow, OpenCV, and other popular libraries, this project includes ...
Epithelial cells form diverse structures, from squamous spherical organoids to densely packed pseudostratified folded tissues. Quantification of cellular properties in these contexts requires ...
Please go to "Colab_BEFUnet.ipynb" for complete detail on dataset preparation and Train/Test procedure or follow the instructions below. Run the below code to train BEFUnet on the synapse dataset.
Image registration overlays images from different sources taken at various times and angles. The process involves establishing correspondence between images to align them spatially. It is crucial in ...
A major challenge in the analysis of tissue imaging data is cell segmentation, the task of identifying the precise boundary of every cell in an image. To address this problem we constructed TissueNet, ...
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