Description

Women in the U.S. have a 1 in 8 (or about 13 percent) lifetime risk of getting breast cancer. About 31.7% of them report delays in the waiting time to obtain a diagnosis, this project aims to reduce the waiting time of high-risk cases, using a convolutional neural network (CNN) and a large sample of mammography scans to train the model.

The problem

Long wait times until a correct diagnosis by a specialist.

Uncertain diagnosis when not with a specialist.

Stress increases as well as confusion during testing

Developing countries have longer wait times.

Making human life better

Saving lives by reducing diagnosis time.

Improving breast cancer diagnosis overall

Lowering stress levels for women and men.

Solution methodology

Using convolutional neural network (CNN) written in python it can help ahieve better diagnoses of tumors.

Can help guide medical practitioner and radiological technicians achieve better diagnosis

Accuracy of 90% and can improve with more data.

Uncertain Results are indicated and 100% certain.

Demo

Demonstration video

Resources

https://github.com/juancruz-py/elc_virtual_hackathon




Cáncer de mama, una prioridad para la salud de las mexicanas. (n.d.). Retrieved October 06, 2020, from https://www.insp.mx/avisos/5090-octubre-cancer-mama-19.html?fbclid=IwAR0dV9XgqXOW689UJfyRAjpk00efrM8w9Jy0YSBmv10u2CWAwx1YyxL0XkM




COVID-19 Pandemic Delayed Breast Cancer Screening in Many Parts of the United States. (2020, September 15). Retrieved October 06, 2020, from https://www.breastcancer.org/research-news/covid-19-delayed-screening-in-us?fbclid=IwAR3StiYJCRkcy6XITmsrGJmtmZMUi89w4NYCu-QGVP7ck7lwceXBXXMuBwk




Mohar-Betancourt, A., Reynoso-Noverón, N., Armas-Texta, D., Gutiérrez-Delgado, C., & Torres-Domínguez, J. (2017, December). Cancer Trends in Mexico: Essential Data for the Creation and Follow-Up of Public Policies. Retrieved October 06, 2020, from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5735971/?fbclid=IwAR3UFdw6mk21MEfAPPEHe4tKnFvTSRGhKzHdXQ4GibK93p-r3g2Yi8uRqi

The team