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Model-Agnostic Method for Thoracic Wall Segmentation in Fetal Ultrasound Videos

The application of segmentation methods to medical imaging has the potential to create novel diagnostic support models. With respect to fetal ultrasound, the thoracic wall is a key structure on the assessment of the chest region for examiners to recognize the relative orientation and size of structu...

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Principais autores: Kanto Shozu, Masaaki Komatsu, Akira Sakai, Reina Komatsu, Ai Dozen, Hidenori Machino, Suguru Yasutomi, Tatsuya Arakaki, Ken Asada, Syuzo Kaneko, Ryu Matsuoka, Akitoshi Nakashima, Akihiko Sekizawa, Ryuji Hamamoto
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2020-12-01
coleção:Biomolecules
Assuntos:
deep learning
fetal ultrasound
prenatal diagnosis
thoracic wall segmentation
model-agnostic
ensemble learning
Acesso em linha:https://www.mdpi.com/2218-273X/10/12/1691
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