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Dataset of breast thermography images for the detection of benign and malignant masses.
Rodriguez-Guerrero, Steve; Loaiza-Correa, Humberto; Restrepo-Girón, Andrés-David; Reyes, Luis Alberto; Olave, Luis Alberto; Diaz, Saul; Pacheco, Robinson.
Afiliación
  • Rodriguez-Guerrero S; Universidad Nacional Abierta y a Distancia, Colombia.
  • Loaiza-Correa H; Universidad del Valle, Cali, Colombia.
  • Restrepo-Girón AD; Universidad del Valle, Cali, Colombia.
  • Reyes LA; Universidad del Valle, Cali, Colombia.
  • Olave LA; Carlos Holmes Trujillo Hospital, Cali, Colombia.
  • Diaz S; San Juan de Dios Hospital, Cali, Colombia.
  • Pacheco R; San Juan de Dios Hospital, Cali, Colombia.
Data Brief ; 54: 110503, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38807852
ABSTRACT
Thermographic image analysis is a subfield of diagnostic image processing aimed at detecting breast abnormalities in women at an early stage. It is a developing field of research and its effectiveness and scope require scientific assessment to be determined. An open-access dataset has been created for the scientific community to test and develop techniques for computational detection of normal and abnormal breast conditions from thermograms. This dataset is a valuable resource for researchers due to the scarcity of publicly available datasets of breast thermographic images. It includes thermographic images of the female chest area in three capture positions anterior, left oblique and right oblique. The data set comes from 119 women ranging from 18 to 81 years of age. A table is attached to the dataset with the diagnosis of breast pathology, showing that 84 patients had benign pathology and 35 patients had malignant pathology. The diagnoses of women with healthy breast pathology are not included.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2024 Tipo del documento: Article País de afiliación: Colombia Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Data Brief Año: 2024 Tipo del documento: Article País de afiliación: Colombia Pais de publicación: Países Bajos