8 citations · 12 across the 7 of their papers we have counts for
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eess.IV2023
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations
Shaoyan Pan, Yiqiao Liu, Sarah Halek +6
In oncology research, accurate 3D segmentation of lesions from CT scans is essential for the modeling of lesion growth kinetics. However, following the RECIST criteria, radiologist…
q-bio.QM2023
Deep learning-based Segmentation of Rabbit fetal skull with limited and sub-optimal annotations
Rajath Soans, Alexa Gleason, Tosha Shah +4
In this paper, we propose a deep learning-based method to segment the skeletal structures in the micro-CT images of Dutch-Belted rabbit fetuses which can assist in the assessment o…