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20202022
most citedA deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy

12 citations · 17 across the 4 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.CV2021★ 1 cited

PSA-Net: Deep Learning based Physician Style-Aware Segmentation Network for Post-Operative Prostate Cancer Clinical Target Volume

Anjali Balagopal, Howard Morgan, Michael Dohopoloski +9

Automatic segmentation of medical images with DL algorithms has proven to be highly successful. With most of these algorithms, inter-observer variation is an acknowledged problem,…

physics.med-ph2021

Dosimetric impact of physician style variations in contouring CTV for post-operative prostate cancer: A deep learning-based simulation study

Anjali Balagopal, Dan Nguyen, Maryam Mashayekhi +6

Inter-observer variation is a significant problem in clinical target volume(CTV) segmentation in postoperative settings, where there is no gross tumor present. In this scenario, th…