Profile of skin cancer in Pomeranian communities of the State of Espírito Santo

Frasson, P; Duque, Danilo Schwab; Pinto, Estanrley Barcelos; Dalvi, Giulia Cerutti; Madalon, Sammy Zogheib; Nunes, Tarcizo Afonso; De-Vargas, Paulo Roberto Merçon

doi:10.1590/0100-69912017002013

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…As Brazil is a tropical country, most of these immigrants and their descendants were/are not adapted to this climate. As a result, there is a high incidence of skin lesions/cancer in this state and the PAD plays a fundamental role to assist these people [14] .…”

Section: Methodsmentioning

confidence: 99%

PAD-UFES-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones

et al. 2020

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Over the past few years, different Computer-Aided Diagnosis (CAD) systems have been proposed to tackle skin lesion analysis. Most of these systems work only for dermoscopy images since there is a strong lack of public clinical images archive available to evaluate the aforementioned CAD systems. To fill this gap, we release a skin lesion benchmark composed of clinical images collected from smartphone devices and a set of patient clinical data containing up to 21 features. The dataset consists of 1373 patients, 1641 skin lesions, and 2298 images for six different diagnostics: three skin diseases and three skin cancers. In total, 58.4% of the skin lesions are biopsy-proven, including 100% of the skin cancers. By releasing this benchmark, we aim to support future research and the development of new tools to assist clinicians to detect skin cancer.

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Section: Methodsmentioning

confidence: 99%

PAD-UFES-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones

et al. 2020

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Use of an app in skin cancer screening in pomeran immigrant communities in the state of Espírito Santo: An observational study (Preprint)

Frasson¹,

Salomão²,

Lima³

et al. 2021

Preprint

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BACKGROUND Cancer occupies the second leading cause of death in the world, behind only cardiovascular diseases. Among cancers, skin cancer is the most frequent in Brazil and worldwide. The University Extension Program entitled Dermatological Assistance Program to Pomeranian Farmers in Espírito Santo (PAD) of the Federal University of Espírito Santo, has been promoting prevention, diagnosis, and adequate treatment in the Pomeranian population of Espírito Santo since 1986, through joint efforts of medical care. The result of these joint efforts represents, on average, 300 doctor’s appointments, 500 to 900 cryotherapies, and 100 surgeries per county where the visits occur, promoted once a month. OBJECTIVE Currently, there is no set of public cancer-related data in the literature that provides information about clinical images and medical histories of affected patients. In partnership with the Engineering and Computer Science Sectors, the Dermatological Analysis Software (SADE) was created to store data and images of the skin lesions of patients operated by the program. The goal of this study was to evaluate the scenario of skin cancer in the communities served by the PAD, based on data stored at SADE between 2018 and 2019, totaling 2,935 visits during this period. METHODS This is a retrospective study carried out from the database collected via the SADE platform (Dermatological Analysis Software). The data is collected using the smartphone application, which connects to the local internet server to store the data. The application was developed using a specific type of Deep Learning model known as Convolutional Neural Networks (CNN). This model is trained using clinical images and patient demographic data collected using the software described above. RESULTS In view of the neoplastic lesions, 1,201 lesions were removed, which after histopathological examination showed 593 basal cell carcinomas (BCC), 95 squamous cell carcinomas (SCC), 81 melanomas and 48 associated BCC and SCC. CONCLUSIONS The results highlight the potential of the software to compose an application in the future that will help doctors in remote locations who have no training in dermatology, optimizing the referral of patients with suspected skin lesions to the specialist, aiming at a faster treatment and suggesting differential diagnoses that may not have been considered. The application of technological instruments in the identification of cancer is an increasingly current reality and its use is already widely used.

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Profile of skin cancer in Pomeranian communities of the State of Espírito Santo

Cited by 2 publications

References 12 publications

PAD-UFES-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones

PAD-UFES-20: A skin lesion dataset composed of patient data and clinical images collected from smartphones

Use of an app in skin cancer screening in pomeran immigrant communities in the state of Espírito Santo: An observational study (Preprint)

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