NDB-UFES: An oral cancer and leukoplakia dataset composed of histopathological images and patient data

• DOI: 10.1016/j.dib.2023.109128
• Publication Date: 2023-04-08T00:24:56Z
• Authors: Maria Clara Falcã...; Júlia Pessini Soares; Leandro Muniz de ...; Liliana Aparecida...; Tânia Regina Grão...; Renato A. Krohling; Danielle Resende ...
• Keywords: Oral mucosa; Epithelial dysplasia

The gold standard for the diagnosis of oral cancer is microscopic analysis specimens removed preferentially through incisional biopsies mucosa with a clinically detected suspicious lesion. This dataset contains captured histopathological images squamous cell carcinoma and leukoplakia. A total 237 were captured, 89 leukoplakia dysplasia images, 57 without 91 images. an optical light microscope, using 10x 40x objectives, attached to microscope camera visualized software. saved in PNG format at 2048 × 1536 size pixels they refer hematoxylin-eosin stained histopathologic slides from performed between 2010 2021 patients managed Oral Diagnosis project (NDB) Federal University Espírito Santo (UFES). leukoplakias represented by samples epithelial dysplasia. Since considers socio-demographic data (gender, age skin color) as well clinical (tobacco use, alcohol consumption, sun exposure, fundamental lesion, type biopsy, lesion color, surface diagnosis), this information was also collected. So, our aim releasing NDB-UFES provide new be used researchers Artificial Intelligence (machine deep learning) develop tools assist clinicians pathologists automated potentially malignant disorders carcinoma.