Quality Assessment of Digital Colposcopies

Donated on 3/7/2017

This dataset explores the subjective quality assessment of digital colposcopies.

Dataset Characteristics

Multivariate

Subject Area

Health and Medicine

Associated Tasks

Classification

Feature Type

Real

# Instances

287

# Features

-

Dataset Information

Additional Information

* The dataset was acquired and annotated by professional physicians at 'Hospital Universitario de Caracas'. * The subjective judgments (target variables) were originally done in an ordinal manner (poor, fair, good, excellent) and was discretized in two classes (bad, good). * Images were randomly sampled from the original colposcopic sequences (videos). * The original images and the manual segmentations are included in the 'images' directory. * The dataset has three modalities (i.e. Hinselmann, Green, Schiller). * The target variables are expert::X (X in 0,...,5) and consensus.

Has Missing Values?

No

Variables Table

Variable NameRoleTypeDemographicDescriptionUnitsMissing Values
no
no
no
no
no
no
no
no
no
no

0 to 10 of 69

Additional Variable Information

Three modalities: hinselmann, green, schiller. Number of Attributes: 69 (62 predictive attributes, 7 target variables) cervix_area: image area with cervix. os_area: image area with external os. walls_area: image area with vaginal walls. speculum_area: image area with the speculum. artifacts_area: image area with artifacts. cervix_artifacts_area: cervix area with the artifacts. os_artifacts_area: external os area with the artifacts. walls_artifacts_area: vaginal walls with the artifacts. speculum_artifacts_area: speculum area with the artifacts. cervix_specularities_area: cervix area with the specular reflections. os_specularities_area: external os area with the specular reflections. walls_specularities_area: vaginal walls area with the specular reflections. speculum_specularities_area: speculum area with the specular reflections. specularities_area: total area with specular reflections. area_h_max_diff: maximum area differences between the four cervix quadrants. rgb_cervix_r_mean: average color information in the cervix (R channel). rgb_cervix_r_std: stddev color information in the cervix (R channel). rgb_cervix_r_mean_minus_std: (avg - stddev) color information in the cervix (R channel). rgb_cervix_r_mean_plus_std: (avg + stddev) information in the cervix (R channel). rgb_cervix_g_mean: average color information in the cervix (G channel). rgb_cervix_g_std: stddev color information in the cervix (G channel). rgb_cervix_g_mean_minus_std: (avg - stddev) color information in the cervix (G channel). rgb_cervix_g_mean_plus_std: (avg + stddev) color information in the cervix (G channel). rgb_cervix_b_mean: average color information in the cervix (B channel). rgb_cervix_b_std: stddev color information in the cervix (B channel). rgb_cervix_b_mean_minus_std: (avg - stddev) color information in the cervix (B channel). rgb_cervix_b_mean_plus_std: (avg + stddev) color information in the cervix (B channel). rgb_total_r_mean: average color information in the image (B channel). rgb_total_r_std: stddev color information in the image (R channel). rgb_total_r_mean_minus_std: (avg - stddev) color information in the image (R channel). rgb_total_r_mean_plus_std: (avg + stddev) color information in the image (R channel). rgb_total_g_mean: average color information in the image (G channel). rgb_total_g_std: stddev color information in the image (G channel). rgb_total_g_mean_minus_std: (avg - stddev) color information in the image (G channel). rgb_total_g_mean_plus_std: (avg + stddev) color information in the image (G channel). rgb_total_b_mean: average color information in the image (B channel). rgb_total_b_std: stddev color information in the image (B channel). rgb_total_b_mean_minus_std: (avg - stddev) color information in the image (B channel). rgb_total_b_mean_plus_std: (avg + stddev) color information in the image (B channel). hsv_cervix_h_mean: average color information in the cervix (H channel). hsv_cervix_h_std: stddev color information in the cervix (H channel). hsv_cervix_s_mean: average color information in the cervix (S channel). hsv_cervix_s_std: stddev color information in the cervix (S channel). hsv_cervix_v_mean: average color information in the cervix (V channel). hsv_cervix_v_std: stddev color information in the cervix (V channel). hsv_total_h_mean: average color information in the image (H channel). hsv_total_h_std: stddev color information in the image (H channel). hsv_total_s_mean: average color information in the image (S channel). hsv_total_s_std: stddev color information in the image (S channel). hsv_total_v_mean: average color information in the image (V channel). hsv_total_v_std: stddev color information in the image (V channel). fit_cervix_hull_rate: Coverage of the cervix convex hull by the cervix. fit_cervix_hull_total: Image coverage of the cervix convex hull. fit_cervix_bbox_rate: Coverage of the cervix bounding box by the cervix. fit_cervix_bbox_total: Image coverage of the cervix bounding box. fit_circle_rate: Coverage of the cervix circle by the cervix. fit_circle_total: Image coverage of the cervix circle. fit_ellipse_rate: Coverage of the cervix ellipse by the cervix. fit_ellipse_total: Image coverage of the cervix ellipse. fit_ellipse_goodness: Goodness of the ellipse fitting. dist_to_center_cervix: Distance between the cervix center and the image center. dist_to_center_os: Distance between the cervical os center and the image center. experts::0: subjective assessment of the Expert 0 (target variable). experts::1: subjective assessment of the Expert 1 (target variable). experts::2: subjective assessment of the Expert 2 (target variable). experts::3: subjective assessment of the Expert 3 (target variable). experts::4: subjective assessment of the Expert 4 (target variable). experts::5: subjective assessment of the Expert 5 (target variable). consensus: subjective assessment of the consensus (target variable).

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Creators

Kelwin Fernandes

Jaime Cardoso

Jessica Fernandes

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