Weakly supervised tumor detection in pet using class response for treatment outcome prediction

HIGHLIGHTS

• who: Amine Amyar et al. from the University of Rouen, Rouen, France have published the Article: Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome Prediction, in the Journal: Imaging 2022, 8, 130. of /2022/
• what: The authors propose a prediction framework including a 3D segmentation in positron emission tomography (PET) images based on a deep learning method and an outcome prediction based on a 3D-CNN classifier applied to the segmented regions. The authors propose to calculate two maximum intensity projection (MIP) images from 3D PET images in two directions classify . . .
  

   

  

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