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This blog post is inspired by a forum thread about lung cancer on the great deep learning site fast.ai by Jeremy Howard and Rachel Thomas

Lung cancer is by far the leading cause of cancer death among both men and women; about 1 out of 4 cancer deaths are from lung cancer. Each year, more people die of lung cancer than of colon, breast, and prostate cancers combined.

Consequently, it is not surprising that many data scientists are interested in applying their expertise to this domain to potentially have positive impact on society. That is an honest goal. …


Competition overview : https://www.kaggle.com/c/invasive-species-monitoring

Congratulations to all the participants and the organizing team for this fun and useful competition. This kind of playground competition is a great way to learn for everyone! A special thanks to Jeremy Howard and Rachel Thomas who created the great applied deep learning online course : http://course.fast.ai/ and to François Chollet who created the Keras API.

A special congratulations also to James Requa (1st place) and Lefteris Fanioudakis (2nd place) with the highest scores over the 513 participants.

I just wanted to share my solution on this blog if anyone who participated in the competition…

Alexandre Cadrin-Chênevert

MD, Radiologist, computer engineer. Looking to apply machine and deep learning to medical imaging to improve accessibility and quality of diagnosis.

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