Cargando…
Accurate diagnostic tissue segmentation and concurrent disease subtyping with small datasets
PURPOSE: To provide a flexible, end-to-end platform for visually distinguishing diseased from undiseased tissue in a medical image, in particular pathology slides, and classifying diseased regions by subtype. Highly accurate results are obtained using small training datasets and reduced-scale source...
Autor principal: | Frank, Steven J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852683/ https://www.ncbi.nlm.nih.gov/pubmed/36687530 http://dx.doi.org/10.1016/j.jpi.2022.100174 |
Ejemplares similares
-
Capsule networks for segmentation of small intravascular ultrasound image datasets
por: Bargsten, Lennart, et al.
Publicado: (2021) -
Accurate and versatile 3D segmentation of plant tissues at cellular resolution
por: Wolny, Adrian, et al.
Publicado: (2020) -
The NWRD Dataset: An Open-Source Annotated Segmentation Dataset of Diseased Wheat Crop
por: Anwar, Hirra, et al.
Publicado: (2023) -
Integrating heterogeneous genomic data to accurately identify disease subtypes
por: Ren, Xianwen, et al.
Publicado: (2015) -
An accurate interactive segmentation and volume calculation of orbital soft tissue for orbital reconstruction after enucleation
por: Ning, Qingyao, et al.
Publicado: (2019)