Repository logo
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    New user? Click here to register.Have you forgotten your password?
Repository logo
  • Communities & Collections
  • All of DSpace
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Sachin Yadav"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • Loading...
    Thumbnail Image
    Item
    Breast Cancer Detection Using Machine Learning
    (2019-06-13T10:28:46Z) Saahil Rai; Sachin Yadav
    Breast Cancer has been one of the major causes of death of women all around the world. Early detection of cancer as well as proper treatment can reduce the risk of deaths. For more accurate diagnosis, Machine Learning can be of great uses to the medical professionals. There are various classifiers in machine learning but in this we present Convolutional Neural Network for the detection and prediction of normal and abnormal breast cancer. For the purpose of developing a model to predict breast cancer Mammograms dataset is used. These datasets are pre-labelled and with the help of this dataset we can develop a more accurate classification model. CNN has been successfully used for diabetic retinopathy screening, bone disease prediction and age assessment, and other problems. And it has been well-known method for image recognition and extraction of features. Pre-trained data sets VGG16, known for providing better prediction and feature extraction has also been implemented. This helps in making the compilations faster and initiating weights in a more approximate manner.

DSpace software copyright © 2002-2026 LYRASIS

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback