Artificial Neural Network and Transfer Learning for Histology Images: Breast Cancer Classification using AI and TL

Deep, Gagan/ Singh, Gagandeep

ISBN 10: 6200472548 / ISBN 13: 9786200472540

Published by LAP LAMBERT Academic Publishing, 2020

About this Item

88 pages. 8.66x5.91x0.20 inches. In Stock.

Seller Inventory # zk6200472548

Bibliographic Details

• Title: Artificial Neural Network and Transfer Learning for Histology Images: Breast Cancer Classification using AI and TL
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2020
• Language: English
• ISBN 10: 6200472548
• ISBN 13: 9786200472540
• Binding: Paperback
• Condition: Brand New
• Weight: 0.18 kilograms

About this title

Synopsis

In this book, comparison on performance of artificial neural network and transfer learning is made for classification of breast cancer into malignant and benign. First artificial neural network topology is design using three hidden layers used for feature extraction and after that softmax layer is used for prediction of cancer as malignant and benign. After that deep convolutional neural network transfer learning model is used where VGG19 which is pretrained model is used for feature extraction and after that dense layers are there which are used for final prediction. So the proposed model with transfer learning outperforms the artificial neural network model with overall accuracy of 98.4% and also beat previous convolutional neural network model. In future we can use other transfer learning models like Resnet50, InceptionV3 to increase further accuracy of the model.