Comparative analysis of intestinal tumor segmentation in PET CT scans using organ based and whole body deep learning

CONCLUSION: Given the variability in structure and metabolism across tissues in the body, our quantitative findings suggest organ-focused training enhances intestinal tumor segmentation by leveraging tissue homogeneity in the training data, contrasting with the whole-body training approach, which, by its very nature, is a more heterogeneous data …