PWML Detection in 3D Cranial Ultrasound Volumes using Over-segmentation and Multimodal Classification with Deep Learning
Author:
Affiliation:
1. Univ Lyon, INSA Lyon, Université Lyon 1, UJM-Saint Etienne, CNRS, Inserm,CREATIS UMR 5220,Lyon,France,F-69621
2. Univ Lyon, INSA Lyon, Laboratoire Vibrations Acoustique (LVA),Villeurbanne,France,F-69621
3. CH Avignon,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10230311/10230322/10230607.pdf?arnumber=10230607
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2. Priority u-net: Detection of punctuate white matter lesions in preterm neonate in 3d cranial ultrasonography;erbacher;Proceedings of the Third Conference on Medical Imaging with Deep Learning (MIDL),2020
3. Deep learning-based defect detection in industrial CT volumes of castings
4. Refined Segmentation R-CNN: A Two-Stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants
5. A parasitic metric learning net for breast mass classification based on mammography
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1. Statistical Characterisation of Fetal Anatomy in Simple Obstetric Ultrasound Video Sweeps;Ultrasound in Medicine & Biology;2024-07
2. On punctate white matter lesions in preterm infants: Is ultrasound diagnosis feasible?;European Journal of Paediatric Neurology;2024-03
3. Vision Transformer and Multiview Classification for Lesion Detection in 3D Cranial Ultrasound;2023 IEEE International Ultrasonics Symposium (IUS);2023-09-03
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