sudohainguyen / stan-small-tumor-aware-network

Unofficial implementation of STAN paper published at ISBI 2020 by researchers from University of Idaho using Tensorflow Keras 2.0.

STAN - Small Tumor-aware Network

Unofficial implementation of STAN paper published at ISBI 2020 by authors from University of Idaho using Tensorflow 2.0.

STAN architecture

Dataset

We use the Dataset B in this implementation. Access permission needed, visit the Release Requirement for more details.

TODOs

• Dataset B Generator
• Model implementation
• Training code using click
• Example for Dataset B
• Tversky loss function
• Dice loss function
• Lovasz loss function
• Focal loss function
• Smarter training procedure with mlflow and hydra
• Inference code
• Evaluate code

stan-small-tumor-aware-network's Issues

Where to download the public dataset BUSIS?

I can't find the link of BUSIS, could you please show the dataset link? Thans a lot!

About new paper ESTAN

Hi, Bryar Shareef,

I'm sorry I have another question for you about this article:
[ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation]
I know your calculations about FPR: [The FP in the paper is defined as |R and G|/|G| where R is binary segmentation and G is the binary mask.]
But I would like to know the results of the real FPR in your ESTAN, would you mind sharing them with me?

Thank you in advance.

Questions about evaluation indicators

Thank you for sharing the code, I have some questions about the calculation of FPR in your paper. According to the formula of FPR, the result is between 0 and 1. But why your result appears to be greater than 1. Please tell me how you defined and calculated it. Thanks!