Yolo V8 streamlines cell segmentation: It leverages the power of Yolo V8, a state-of-the-art object detection model, for a complete cell segmentation solution. This approach eliminates the need for separate steps like cell identification and boundary prediction, making it faster and potentially more accurate.
-
Notifications
You must be signed in to change notification settings - Fork 1
Yolo V8 streamlines cell segmentation: It leverages the power of Yolo V8, a state-of-the-art object detection model, for a complete cell segmentation solution. This approach eliminates the need for separate steps like cell identification and boundary prediction, making it faster and potentially more accurate.
Mohammad-Moiz/Computer-Vision-End-to-End-Cell-Segmentation-Using-Yolo-V8
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Yolo V8 streamlines cell segmentation: It leverages the power of Yolo V8, a state-of-the-art object detection model, for a complete cell segmentation solution. This approach eliminates the need for separate steps like cell identification and boundary prediction, making it faster and potentially more accurate.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published