Improving the Segmentation Accuracy of Ovarian-Tumor Ultrasound Images Using Image Inpainting

Diagnostic results can be radically influenced by the quality of 2D ovarian-tumor ultrasound images. However, clinically processed 2D ovarian-tumor ultrasound images contain many artificially recognized symbols, such as fingers, crosses, dashed lines, and letters which assist artificial intelligence...

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Detalles Bibliográficos
Autores principales: Chen, Lijiang, Qiao, Changkun, Wu, Meijing, Cai, Linghan, Yin, Cong, Yang, Mukun, Sang, Xiubo, Bai, Wenpei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9952248/
https://www.ncbi.nlm.nih.gov/pubmed/36829679
http://dx.doi.org/10.3390/bioengineering10020184

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9952248/
https://www.ncbi.nlm.nih.gov/pubmed/36829679
http://dx.doi.org/10.3390/bioengineering10020184

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