Analise-de-celulas

Projeto desenvolvido durante a matéria de analise e processamento de imagens.

Observação

Espera-se que na pasta assets tenha uma pasta images com todas as imagens do dataset

Membros

• Marcos Ani Cury Vinagre Silva, 684903, Ciências da Computação, Coração Eucarístico

• Letícia Americano Lucas, 691290, Ciências da Computação, Coração Eucarístico

CRIC Cervix Cell Classification

400 images from microscope slides of the uterine cervix using the conventional smear (Pap smear) and the epithelial cell abnormalities classified according to Bethesda system.

How to Cite

Mariana, Claudia, Alessandra.

Data Fields

• image_id

  This is the integer that identifies the image at http://database.cric.com.br/.

• image_filename

  This is the name that identifies the image in the ZIP file that you have.

• image_doi

  This is the DOI that identifies the image.

• cell_id

  This is the integer that identifies the cell at http://database.cric.com.br/.

• bethesda_system

  Classification of the cell using the Bethesda system. It is on of the following:

  • Negative for intraepithelial lesion

  • ASC-US

    Atypical squamous cells of undetermined significance

  • ASC-H

    Atypical squamous cells cannot exclude HSIL

  • LSIL

    Low grade squamous intraepithelial lesion

  • HSIL

    High grade squamous intraepithelial lesion

  • SCC

    Squamous cell carcinoma

• nucleus_x

  Integer between 1 and 1384 equal to coordinate x of the pixel that represent the cell.

• nucleus_y

  Integer between 1 and 1384 equal to coordinate y of the pixel that represent the cell.