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Segformer B0 Finetuned V0

Developed by Pavarissy
An image segmentation model fine-tuned on the tontokoton/artery-ultrasound-siit dataset based on nvidia/mit-b0
Downloads 15
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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