Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kanta Miura"'
Publikováno v:
Journal of Imaging, Vol 10, Iss 3, p 68 (2024)
In this paper, we propose a method to refine the depth maps obtained by Multi-View Stereo (MVS) through iterative optimization of the Neural Radiance Field (NeRF). MVS accurately estimates the depths on object surfaces, and NeRF accurately estimates
Externí odkaz:
https://doaj.org/article/b06ee9803e894ac5aaf09586b62233c6
Publikováno v:
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b55ba89e9f191b17dede491480935c4
https://doi.org/10.23919/apsipaasc55919.2022.9980279
https://doi.org/10.23919/apsipaasc55919.2022.9980279
Publikováno v:
Computational Statistics & Data Analysis. 178:107613
Linear discriminant analysis (LDA) is a well-known method for multiclass classification and dimensionality reduction. However, in general, ordinary LDA does not achieve high prediction accuracy when observations in some classes are difficult to be cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96ad805c38a57d21463f63e64c38affb
https://doi.org/10.1016/j.csda.2022.107613
https://doi.org/10.1016/j.csda.2022.107613
Publikováno v:
International Forum on Medical Imaging in Asia 2021.
We propose a probe localization method only from ultrasound (US) image sequences using deep learning for three-dimensional (3D) US image reconstruction. The proposed method employs a convolutional neural network (CNN) to estimate the motion of the pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b0ea50fe1bf7c3ca685bc5037b5b29a
https://doi.org/10.1117/12.2590805
https://doi.org/10.1117/12.2590805
Publikováno v:
Simplifying Medical Ultrasound ISBN: 9783030875824
ASMUS@MICCAI
ASMUS@MICCAI
In this paper, we propose an ultrasound (US) probe pose estimation method only from US image sequences using deep learning for volume reconstruction. The proposed method employs the combination of convolutional neural network (CNN) and recurrent neur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d89545ac439693acf89736453dc435e0
https://doi.org/10.1007/978-3-030-87583-1_10
https://doi.org/10.1007/978-3-030-87583-1_10
Publikováno v:
The Proceedings of Mechanical Engineering Congress, Japan. 2022:J043p-02
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31cf2df02c62c0e54a7ccdbf9e8f7cd3
https://doi.org/10.1299/jsmemecj.2022.j043p-02
https://doi.org/10.1299/jsmemecj.2022.j043p-02
Publikováno v:
Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis ISBN: 9783030603335
ASMUS/PIPPI@MICCAI
ASMUS/PIPPI@MICCAI
This paper presents an ultrasound (US) volume reconstruction method only from US image sequences using deep learning. The proposed method employs the convolutional neural network (CNN) to estimate the position of a 2D US probe only from US images. Ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c5680069b392b3c10c69abb5c5bdcb3
https://doi.org/10.1007/978-3-030-60334-2_10
https://doi.org/10.1007/978-3-030-60334-2_10