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"Towards a device-independent deep learning approach for the automated ..."

Abhi Lad et al. (2022)

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DOI: 10.1117/12.2610741

access: closed

type: Conference or Workshop Paper

metadata version: 2024-03-14

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  dblp key:
  - conf/micad/LadNSJVSHATNGPP22
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  - https://dblp.org/rec/conf/micad/LadNSJVSHATNGPP22
Abhi Lad, Adithya Narayan, Hari Shankar, Shefali Jain, Pooja Punjani Vyas, Divya Singh, Nivedita Hegde, Jagruthi Atada, Jens Thang, Saw Shier Nee, Arunkumar Govindarajan, Roopa PS, Muralidhar V. Pai, Akhila Vasudeva, Prathima Radhakrishnan, Sripad Krishna Devalla:
Towards a device-independent deep learning approach for the automated segmentation of sonographic fetal brain structures: a multi-center and multi-device validation. Medical Imaging: Computer-Aided Diagnosis 2022

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