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...
| Autori principali: | , , , , , , |
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| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
SAGE Publishing
2022-03-01
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| Serie: | Technology in Cancer Research & Treatment |
| Accesso online: | https://doi.org/10.1177/15330338221086395 |