shamsuriazmi / CAIP-Group-Project-VGG19-Skin-Cancer-Detection

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CAIP-Group-Project-VGG19-Skin-Cancer-Detection

Capstone Project : VGG19 Skin Cancer Detection

Problem Statement

  • What is actually considered that skin cancer cells is cancerous (danger zone) malignant or benign?
  • How to achieve better and cheaper prediction than a dermatologist?

Objective

  • To adapt VGG19 to suit the cancer datasets
  • To evaluate the accuracy of the prediction

Solution

  • Skin Cancer detection using VGG19 Image Classification

Dataset

  • Kaggle Skin Cancer (Malignant vs Benign)

VGG19 Architecture

  • VGG19 is a deep CNN used to classify images
  • Variant of VGG model which consists of 19 layers (16 convolution layers, 3 Fully connected layer, 5 MaxPool layers and 1 SoftMax layer)
  • Weights are easily available with other frameworks like keras
  • VGG19 has learned rich feature representations for a wide range of images

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