Can I read Hybrid U-Net ResNet for Wound Segmentation on EtoBox?

Hybrid U-Net ResNet for Wound Segmentation by Tarik Rahman is a document available to read on EtoBox.

What is Hybrid U-Net ResNet for Wound Segmentation about?

The document presents research on an automated wound care system utilizing a hybrid deep learning framework that combines U-Net and ResNet34 for improved wound segmentation. The study demonstrates high performance metrics, achieving an Intersection over Union (IoU) of 0.973 and a Dice coefficient of 0.986, indicating precise segmentation. The methodology and dataset used are publicly available, highlighting the potential applicability of this approach in various medical imaging tasks.

Author

Tarik Rahman

Language

EN