The US Coast Guard's first-ever mandatory cybersecurity framework for ports, vessels, and offshore facilities has taken effect, ending two decades of voluntary compliance and putting operators on a ...

Currently, this more accurately called skin region segmentation as things like eyebrows, teeth, and eyes are included in the mask. The BiRefNetSession class in birefnet/session.py can be used for ONNX ...

You can create your own conda environment for SCSegamba based on the following command⚙️: conda create -n SCSegamba python=3.10 -y conda activate SCSegamba pip ...

This work presents a valuable self-supervised method for the segmentation of 3D cells in microscopy images, alongside an implementation as a Napari plugin and an annotated dataset. While the Napari ...

Volume electron microscopy is the method of choice for the in situ interrogation of cellular ultrastructure at the nanometer scale, and with the increase in large raw image datasets generated, ...

Abstract: Accurate fingerprint segmentation is crucial for reliable fingerprint recognition systems. This paper presents two novel segmentation methods, GMFS and SUFS, inspired by the KISS (Keep It ...

Deep learning segmentation algorithms can produce reproducible results in a matter of seconds. However, their application to more complex datasets is uncertain and may fail in the presence of severe ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Deep learning provides new ideas for chemical process fault diagnosis, reducing ...

Data is the most valuable resource businesses have in today’s digital age, and a large portion of this data is made up of images. Data scientists can process these images and feed them into machine ...

Various pre-trained deep learning models for the segmentation of bioimages have been made available as developer-to-end-user solutions. They are optimized for ease of use and usually require neither ...