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PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes.

, , , , , , , , , , , и . Artif. Intell. Medicine, (2021)

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Aurélie Thiele

Aurélie Hädrich

Aurélie Labonne

Aurélie Voisin

Aurélie Nicolas

 

Другие публикации лиц с тем же именем

Performance Deterioration of Deep Learning Models after Clinical Deployment: A Case Study with Auto-segmentation for Definitive Prostate Cancer Radiotherapy., , , , , , , , , и 2 other автор(ы). CoRR, (2022)A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy., , , , , , , , , и 2 other автор(ы). CoRR, (2020)Dosimetric impact of physician style variations in contouring CTV for post-operative prostate cancer: A deep learning based simulation study., , , , , , , , и . CoRR, (2021)PSA-Net: Deep Learning based Physician Style-Aware Segmentation Network for Post-Operative Prostate Cancer Clinical Target Volume., , , , , , , , , и 2 other автор(ы). CoRR, (2021)PSA-Net: Deep learning-based physician style-aware segmentation network for postoperative prostate cancer clinical target volumes., , , , , , , , , и 2 other автор(ы). Artif. Intell. Medicine, (2021)A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy., , , , , , , , , и 2 other автор(ы). Medical Image Anal., (2021)