Venue: MIDL 2023 Short_Paper_Track

Reviews:

final_score: rating: 5: Marginally below acceptance threshold
review_content: Body composition estimation is useful for diabetes and sarcopenia diagnosis. To estimate the body composition, this paper proposes to segment abdomen and pelvis fat and muscle tissues using a patch-based V-Net. Experimental results demonstrate that the proposed method is able to segment the target tissues. However, there are two issues: (1) it is unclear how ground truth is obtained and how reliable the ground truth is; (2) the method V-net used in this study seems to be obsolete. The author should compare their patch-based V-Net with a more recent nn-Unet v2.
review_title: Review

final_score: rating: 8: Top 50% of accepted papers, clear accept
review_content: nicely written paper, clear exposition

strong results 

application has practical value in the clinic



review_title: nice paper, strong results

Decision: Accept(Poster)