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Hi,
i am a student at the technical university Regensburg in Bavaria, Germany.
I use your pipeline for automated lesion segmentation in PET/CT images for my thesis.
In the LFBNet paper i read, the original use of the LFBNet was not to delineate cancer but to semgent other anatomical structures like inner ear oder prostate.
On your repository i was unable to find how you adapted and especially trained the LFBNet to segment cancer.
I am looking forward to your answer.
Kind regards
Konstanze Hierl
The text was updated successfully, but these errors were encountered:
Hello @eznatsnok
Firstly, thank you for your interest in the model.
The LFBNet was written in the original paper for anatomical structure segmentation (https://doi.org/10.1109/TMI.2021.3060497) and adapted to the lesion segmentation on the MIP PET images as written in the paper https://doi.org/10.2967/jnumed.121.263501. Please refer to the supplemental material of the second paper for details.
Hi,
i am a student at the technical university Regensburg in Bavaria, Germany.
I use your pipeline for automated lesion segmentation in PET/CT images for my thesis.
In the LFBNet paper i read, the original use of the LFBNet was not to delineate cancer but to semgent other anatomical structures like inner ear oder prostate.
On your repository i was unable to find how you adapted and especially trained the LFBNet to segment cancer.
I am looking forward to your answer.
Kind regards
Konstanze Hierl
The text was updated successfully, but these errors were encountered: