HIGHLIGHTS
- What: The study proposed a fully automatic method for identifying DVT using DL and Contrast Enhanced-MRI images. The study aimed to develop a wearable device using the LRR technique, which could help people with hidden DVT risks be examined for embolus formation. The study introduced a deep multiscale convolutional neural_networks for image segmentation. The paper presents theoretical knowledge on DVT and its risk factors, enabling the development of techniques for segmenting DVT..
- Who: Innovative modified-net and collaborators from the Vellore Institute have published the Article: Innovative modified-net architecture: enhanced segmentation of deep . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.