Cargando…
Histopathological imaging database for oral cancer analysis
The repository is composed of 1224 images divided into two sets of images with two different resolutions. First set consists of 89 histopathological images with the normal epithelium of the oral cavity and 439 images of Oral Squamous Cell Carcinoma (OSCC) in 100x magnification. The second set consis...
Autores principales: | Rahman, Tabassum Yesmin, Mahanta, Lipi B., Das, Anup K., Sarma, Jagannath D. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6994517/ https://www.ncbi.nlm.nih.gov/pubmed/32021884 http://dx.doi.org/10.1016/j.dib.2020.105114 |
Ejemplares similares
-
Study of morphological and textural features for classification of oral squamous cell carcinoma by traditional machine learning techniques
por: Rahman, Tabassum Yesmin, et al.
Publicado: (2020) -
Liquid based-cytology Pap smear dataset for automated multi-class diagnosis of pre-cancerous and cervical cancer lesions
por: Hussain, Elima, et al.
Publicado: (2020) -
Analysis of Morphological Features of Benign and Malignant Breast Cell Extracted From FNAC Microscopic Image Using the Pearsonian System of Curves
por: Rajbongshi, Nijara, et al.
Publicado: (2018) -
A New Breast Border Extraction and Contrast Enhancement Technique with Digital Mammogram Images for Improved Detection of Breast Cancer
por: Hazarika, Manasi, et al.
Publicado: (2018) -
Databases for evaluating interferences between affective content and image quality
por: Gasparini, Francesca, et al.
Publicado: (2019)