TY - GEN
T1 - Clasificación de Imágenes Médicas para la Detección del Cáncer de mama mediante Redes Neuronales
AU - Marcos, Riera Iziga
AU - Waldir, Sotelo Hernández
AU - Neicer, Campos Vásquez
N1 - Publisher Copyright:
© 2021 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2021
Y1 - 2021
N2 - At present, it is not easy to interpret mammography images and provide a medical diagnosis by a health professional. Despite the professional's experience, anomalies or tumors are not detected 100% quickly. Since it is not easy to interpret. main objective was to perform an image classifier and apply a convolutional neuron. After a rigorous training of the neuron to provide an efficient diagnosis, it is shown that by increasing training the result is more efficient and the error factor is decreased. Only in the second test was 64.3% effective. In the research, no incompatible images with the neural network were presented, so no attributes were lost if parameter adjustments were made. So it is demonstrable that the system has great practical scope because the resources used are easy to reach.
AB - At present, it is not easy to interpret mammography images and provide a medical diagnosis by a health professional. Despite the professional's experience, anomalies or tumors are not detected 100% quickly. Since it is not easy to interpret. main objective was to perform an image classifier and apply a convolutional neuron. After a rigorous training of the neuron to provide an efficient diagnosis, it is shown that by increasing training the result is more efficient and the error factor is decreased. Only in the second test was 64.3% effective. In the research, no incompatible images with the neural network were presented, so no attributes were lost if parameter adjustments were made. So it is demonstrable that the system has great practical scope because the resources used are easy to reach.
KW - deep learning
KW - diagnosis.
KW - image classification
KW - mammography
UR - http://www.scopus.com/inward/record.url?scp=85139375306&partnerID=8YFLogxK
U2 - 10.18687/LEIRD2021.1.1.33
DO - 10.18687/LEIRD2021.1.1.33
M3 - Contribución a la conferencia
AN - SCOPUS:85139375306
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - 1st LACCEI International Multi-Conference on Entrepreneurship, Innovation, and Regional Development
A2 - Larrondo Petrie, Maria M.
A2 - Zapata Rivera, Luis Felipe
A2 - Aranzazu-Suescun, Catalina
T2 - 1st LACCEI International Multi-Conference on Entrepreneurship, Innovation, and Regional Development: Ideas to Overcome and Emerge from the Pandemic Crisis, LEIRD 2021
Y2 - 9 December 2021 through 10 December 2021
ER -
