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# PSAT: **P**ediatric **S**egmentation **A**pproaches via **A**dult **A**ugmentations and **T**ransfer
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# PSAT
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### PSAT Notation and Meaning
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This repository contains the code and configuration files for PSAT (Pediatric Segmentation Approaches via Adult Augmentations and Transfer).
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**PSAT** stands for **Plan, Set, Augmentation, and Tuning**. Each letter represents a key component of the training configuration for segmentation approaches in pediatric radiotherapy. Below is a breakdown of the notation and its possible options:
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## Overview
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| **Component** | **Symbol** | **Options and Description** |
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|------------------|--------------|----------------------------------------------------------------------------------------------------------------|
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| **Plan** | $P$ | - **p**: Pediatric Plans <br> - **a**: Adult Plans <br> - **m**: Mixed Plans |
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| **Set** | $S$ | - **p**: Pediatric Dataset <br> - **a**: Adult Dataset <br> - **m**: Mixed Dataset |
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| **Augmentation** | $A$ | - **d**: Default Augmentations <br> - **c**: Contraction Augmentations |
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| **Tuning** | $T$ | - **p**: Pediatric Fine-Tuning <br> - **m**: Mixed Fine-Tuning <br> - **None**: No Fine-Tuning |
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PSAT addresses pediatric segmentation challenges by combining:
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- **Training Plans:** Derived from adult, pediatric, or mixed data ($P_a$, $P_p$, $P_m$).
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- **Learning Sets:** Adult-only, pediatric-only, or mixed ($S_a$, $S_p$, $S_m$).
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- **Augmentations:** Default ($A_d$) and contraction-based ($A_c$) strategies.
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- **Transfer Learning:** Direct inference ($T_o$), fine-tuning ($T_p$), or continual learning ($T_m$).
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---
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### Example of PSAT Notation
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- $P_a S_a A_d T_p$
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- **Plan**: Adult Plans
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- **Set**: Adult Dataset
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- **Augmentation**: Default Augmentations
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- **Tuning**: Pediatric Fine-Tuning
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<img src="resources/images/PSAT_overview.png" alt="PSAT Overview" style="width:80%; max-width:1000px; display:block; margin: 0 auto;">
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## Documentation
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