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L-CO-Net: Learned Condensation-Optimization Network for Segmentation and Clinical Parameter Estimation from Cardiac Cine MRI

In this work, we implement a fully convolutional segmenter featuring both a learned group structure and a regularized weight-pruner to reduce the high computational cost in volumetric image segmentation. We validated our framework on the ACDC dataset featuring one healthy and four pathology patient...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Annu Int Conf IEEE Eng Med Biol Soc
Egile Nagusiak: Hasan, S. M. Kamrul, Linte, Cristian A.
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2020
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC8169002/
https://ncbi.nlm.nih.gov/pubmed/33018206
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/EMBC44109.2020.9176491
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