Cargando…
Structure boundary-preserving U-Net for prostate ultrasound image segmentation
Prostate cancer diagnosis is performed under ultrasound-guided puncture for pathological cell extraction. However, determining accurate prostate location remains a challenge from two aspects: (1) prostate boundary in ultrasound images is always ambiguous; (2) the delineation of radiologists always o...
Autores principales: | Bi, Hui, Sun, Jiawei, Jiang, Yibo, Ni, Xinye, Shu, Huazhong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9366193/ https://www.ncbi.nlm.nih.gov/pubmed/35965563 http://dx.doi.org/10.3389/fonc.2022.900340 |
Ejemplares similares
-
Multiple U-Net-Based Automatic Segmentations and Radiomics Feature Stability on Ultrasound Images for Patients With Ovarian Cancer
por: Jin, Juebin, et al.
Publicado: (2021) -
An Improved Boundary-Aware U-Net for Ore Image Semantic Segmentation
por: Wang, Wei, et al.
Publicado: (2021) -
Modality preserving U-Net for segmentation of multimodal medical images
por: Wu, Bingxuan, et al.
Publicado: (2023) -
Automatic renal mass segmentation and classification on CT images based on 3D U-Net and ResNet algorithms
por: Zhao, Tongtong, et al.
Publicado: (2023) -
DCTR U-Net: automatic segmentation algorithm for medical images of nasopharyngeal cancer in the context of deep learning
por: Zeng, Yan, et al.
Publicado: (2023)