Cargando…
Image Descriptors for Weakly Annotated Histopathological Breast Cancer Data
Introduction: Cancerous Tissue Recognition (CTR) methodologies are continuously integrating advancements at the forefront of machine learning and computer vision, providing a variety of inference schemes for histopathological data. Histopathological data, in most cases, come in the form of high-reso...
Autores principales: | Stanitsas, Panagiotis, Cherian, Anoop, Morellas, Vassilios, Tejpaul, Resha, Papanikolopoulos, Nikolaos, Truskinovsky, Alexander |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7749086/ https://www.ncbi.nlm.nih.gov/pubmed/33345255 http://dx.doi.org/10.3389/fdgth.2020.572671 |
Ejemplares similares
-
The Use of Immersive Environments for the Early Detection and Treatment of Neuropsychiatric Disorders
por: Martin, Robert F. K., et al.
Publicado: (2021) -
Automatic Segmentation of Kidneys and Kidney Tumors: The KiTS19 International Challenge
por: Sathianathen, Niranjan J., et al.
Publicado: (2022) -
Markup: A Web-Based Annotation Tool Powered by Active Learning
por: Dobbie, Samuel, et al.
Publicado: (2021) -
Inter-rater agreement for the annotation of neurologic signs and symptoms in electronic health records
por: Oommen, Chelsea, et al.
Publicado: (2023) -
On the Annotation of Health Care Pathways to Allow the Application of Care-Plans That Generate Data for Multiple Purposes
por: Ingvar, Martin, et al.
Publicado: (2021)