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We already have two foundation models for basic whole brain and whole body segmentation.
1. whole brain segmentation model (133 brain structures) for T1 MRI.
2. whol body segmentation model (104 t…
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210 volumes with ground-truth
http://arxiv.org/abs/1904.00445
![image](https://user-images.githubusercontent.com/73802219/98999408-18127500-257b-11eb-8d47-2213dd39d0ed.png)
![image](https://u…
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Thanks you for your excellent works, I want to know whether this work is a equal way to augment data.
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In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS) organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2017 and Int…
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## タイトル: ディープラーニングベースのCT/PET画像における腫瘍セグメンテーションのための正弦波正規化
## リンク: https://arxiv.org/abs/2409.13410
## 概要:
本レポートでは、autoPET III Challengeに向けて開発された、CT/PETスキャンにおける腫瘍の自動セグメンテーションのための正規化ブロックを紹介します。主な革新点は、…
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Thanks for your great work, it’s given me a lot of inspiration.
I have a question about multi-organ segmentation, which is training the model using multiple different organ (tumor) datasets.
In …
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Suggestion from @laurentletg
Currently, a use case is defined with a [config file](https://github.com/neuropoly/slicer-manual-annotation/blob/39aa6197c03221f369ddfbcdad1a15cd9a9515cd/SlicerCART/src…
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Hi, I want to train GMS model with msd pancreas dataset. And it has 3 classes(background, pancreas, tumor).
How can I train those 3 classes with your code? I don't know which variable indicates the n…
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I have tried to run the given script following instructions on MICCAI_BraTS2020_TrainingData but get a segmentation of the whole brain rather than the ground truth tumor.
The first image is the out…