Project title

Skin Lesion Analysis towards Melanoma Detection with Deep Neural Network

Submitted to:

  • Tejalal Choudhary

Submitted By:

  1. Shuvethram Ragupathy
  2. S. Lakshminarayana
  3. S. Vinay Kumar
  4. Krishna Teja Jillelamudi

Project Description

Skin cancer detection and classification is one of the biggest challenges faced by the medical industry. In this paper, the automation process of solving this problem is described and implemented by using the concept of Convolution Neural Networks in Deep Learning. The basic objective is to design a reliable and effective method for determination of melanoma, the deadliest skin malignancy. In addition to fine-tuning and data augmentation, we experimented on many pre-trained models like InceptionResNetV2, ResNet, MobileNet, NASNet and VGG16.

Project Poster

Get Latest Notification about

Please ignore if you have already signed up.

Announcements, news and innovations!

From in your inbox.

By submitting this form, you are consenting to receive marketing emails from: Bennett University. You can revoke your consent to receive emails at any time by using the SafeUnsubscribe® link, found at the bottom of every email.