TY - GEN
T1 - Modelo extendido para la detección temprana del cáncer de piel utilizando procesamiento de imágenes
AU - Poma, Jonathan Miguel Campos
AU - Dominguez, Emily Yanira De La Cruz
AU - Armas-Aguirre, Jimmy
AU - Gonzalez, Leonor Gutierrez
N1 - Publisher Copyright:
© 2020 AISTI.
PY - 2020/6
Y1 - 2020/6
N2 - In this research paper, we proposed an extended model for the early detection of skin cancer... The purpose is reduce the waiting time to obtaining a diagnosis, in addition, the function of the dermatoscope has been digitized by using a Smartphone and magnifying lenses as an accessory the mobile device. The proposed model has five phases: 1. The patient is attended by a general practitioner or nurse previously trained in any health center which has WiFi or mobile network connectivity to record their data and capture the skin lesion that will be analyzed. 2) The image will be in the cloud storage, which at the same time feeds an exclusive access website of dermatologists.3) Images are analyzed in real time using an image recognition service provided by IBM, which is integrated into a cloud-hosted web platform and an-Android application. 4)The result of the image processing is visualized by the dermatologist who makes a remote diagnosis.5) This diagnosis is received by the general practitioner or nurse, responsible for transmitting the diagnosis and treatment to the patient. This model was validated in a group of 60 patients, where 28 suffer from skin cancer in the early stage, 12 in the late stage and 20 are healthy patients, in a network of clinics in Lima, Peru. The obtained result was 97.5% of assertiveness on the analyzed skin lesions and 95% in healthy patients.
AB - In this research paper, we proposed an extended model for the early detection of skin cancer... The purpose is reduce the waiting time to obtaining a diagnosis, in addition, the function of the dermatoscope has been digitized by using a Smartphone and magnifying lenses as an accessory the mobile device. The proposed model has five phases: 1. The patient is attended by a general practitioner or nurse previously trained in any health center which has WiFi or mobile network connectivity to record their data and capture the skin lesion that will be analyzed. 2) The image will be in the cloud storage, which at the same time feeds an exclusive access website of dermatologists.3) Images are analyzed in real time using an image recognition service provided by IBM, which is integrated into a cloud-hosted web platform and an-Android application. 4)The result of the image processing is visualized by the dermatologist who makes a remote diagnosis.5) This diagnosis is received by the general practitioner or nurse, responsible for transmitting the diagnosis and treatment to the patient. This model was validated in a group of 60 patients, where 28 suffer from skin cancer in the early stage, 12 in the late stage and 20 are healthy patients, in a network of clinics in Lima, Peru. The obtained result was 97.5% of assertiveness on the analyzed skin lesions and 95% in healthy patients.
KW - image processing
KW - melanoma
KW - mobile device
KW - skin cancer
UR - https://www.scopus.com/pages/publications/85089019218
U2 - 10.23919/CISTI49556.2020.9140952
DO - 10.23919/CISTI49556.2020.9140952
M3 - Contribución a la conferencia
AN - SCOPUS:85089019218
T3 - Iberian Conference on Information Systems and Technologies, CISTI
BT - Proceedings of CISTI 2020 - 15th Iberian Conference on Information Systems and Technologies
A2 - Rocha, Alvaro
A2 - Perez, Bernabe Escobar
A2 - Penalvo, Francisco Garcia
A2 - del Mar Miras, Maria
A2 - Goncalves, Ramiro
PB - IEEE Computer Society
T2 - 15th Iberian Conference on Information Systems and Technologies, CISTI 2020
Y2 - 24 June 2020 through 27 June 2020
ER -