Automated liver tumor detection in abdominal ultrasonography with a modified faster region-based convolutional neural networks (Faster R-CNN) architecture

BACKGROUND: Although diagnostic ultrasound can non-invasively capture the image of abdominal viscera, diagnosis of the continuous ultrasound liver images to detect a liver tumor effectively and to determine whether the detected is benign or malignant is nontrivial. In order to minimize the gaps in d...

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Detalles Bibliográficos
Autores principales: Karako, Kenji, Mihara, Yuichiro, Arita, Junichi, Ichida, Akihiko, Bae, Sung Kwan, Kawaguchi, Yoshikuni, Ishizawa, Takeaki, Akamatsu, Nobuhisa, Kaneko, Junichi, Hasegawa, Kiyoshi, Chen, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577977/
https://www.ncbi.nlm.nih.gov/pubmed/36268232
http://dx.doi.org/10.21037/hbsn-21-43

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577977/
https://www.ncbi.nlm.nih.gov/pubmed/36268232
http://dx.doi.org/10.21037/hbsn-21-43

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