Segformer B0 Finetuned V0
An image segmentation model fine-tuned on the tontokoton/artery-ultrasound-siit dataset based on nvidia/mit-b0
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Release Time : 9/11/2023
Model Overview
This model is a lightweight version of the SegFormer architecture, specifically fine-tuned for ultrasound image segmentation tasks.
Model Features
Lightweight architecture
Based on MIT-B0's lightweight design, suitable for deployment in resource-constrained environments
Medical image optimization
Specifically optimized for artery ultrasound image segmentation
Efficient training
Utilizes Adam optimizer and linear learning rate scheduler for efficient training
Model Capabilities
Ultrasound image segmentation
Medical image analysis
Pixel-level classification
Use Cases
Medical imaging
Artery ultrasound image segmentation
Used to identify and segment specific structures in artery ultrasound images
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