AI in Dermatology: Integrating Deep and Machine Learning for Skin Cancer Classification

Area: Body

Nicholas Deniz Atamer Alonso

BBA BDBA Graduate Student

This project focuses on the combination of computer vision and machine learning to reduce waiting time in skin cancer detection, maximizing reliability and efficiency, as well as providing a deep understanding of how AI and healthcare can benefit the world together.

  • Nicholas's comment on the project

    The experience working on this project was really exciting. The journey, the challenges and finally the results really nourished my understanding on the potential AI has in Healthcare.

How to submit your work

STEP 1

Prepare your abstract

Ensure your abstract is complete and accurately represents your piece of work. Please note that we only require the abstract, not the entire piece of work.

STEP 2

Access the submission link

Click on the following link to access the SUBMISSION FORM.

STEP 3

Fill out the submission form

Complete all required fields in the SUBMISSION FORM, including your personal details and a brief description of your work.

STEP 4

Project review

Once submitted, our team will review your abstract. If your project meets the requirements, it will be published on this site  soon.

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