PIxel-Level Segmentation of Bladder Tumors on MR Images Using a Random Forest Classifier

Objectives: Regional bladder wall thickening on noninvasive magnetic resonance (MR) images is an important sign of developing urinary bladder cancer (BCa), and precise segmentation of the tumor mass is an essential step toward noninvasive identification of the pathological stage and grade, which is...

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Detalles Bibliográficos
Autores principales: Li, Ziqi, Feng, Na, Pu, Huangsheng, Dong, Qi, Liu, Yan, Liu, Yang, Xu, Xiaopan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123929/
https://www.ncbi.nlm.nih.gov/pubmed/35296195
http://dx.doi.org/10.1177/15330338221086395

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123929/
https://www.ncbi.nlm.nih.gov/pubmed/35296195
http://dx.doi.org/10.1177/15330338221086395

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