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fix a few general typos
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documentation/competitions/AortaSeg24.md

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# Introduction
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This document describes our submission to the [AortaSeg24 Challenge](hhttps://aortaseg24.grand-challenge.org/).
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This document describes our submission to the [AortaSeg24 Challenge](https://aortaseg24.grand-challenge.org/).
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Our model is essentially a nnU-Net ResEnc L with modified data augmentation. We disable left/right mirroring and use the heavy data augmentation [DA5 Trainer](../../nnunetv2/training/nnUNetTrainer/variants/data_augmentation/nnUNetTrainerDA5.py). Training was performed on an A100 40GB GPU.
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# Experiment Planning and Preprocessing

nnunetv2/dataset_conversion/Dataset119_ToothFairy2_All.py

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def mapping_DS119() -> Dict[int, int]:
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"""Remove all NA Classes and make Class IDs continious"""
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"""Remove all NA Classes and make Class IDs continuous"""
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mapping = {}
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mapping.update({i: i for i in range(1, 19)}) # [1-10]->[1-10] | [11-18]->[11-18]
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mapping.update({i: i - 2 for i in range(21, 29)}) # [21-28]->[19-26]

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