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

Deep, Gagan; Singh, Gagandeep

Softcover

ISBN 10: 6200472548 ISBN 13: 9786200472540

Verlag: LAP LAMBERT Academic Publishing, 2020

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Dr. Gagan Deep received his Bachelor's degree in Computer Science and Engineering fromPunjab Technical University, Jalandhar, Punjab, India in 2002, M.E. degree in Computer Science and Engineering from PEC University of Technology, Chandigarh, India, in 2005 and Ph.D.degree in Computer Engineering from Panjabi university, Patiala, India, in 2017.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2020
• Sprache: Englisch
• ISBN 10: 6200472548
• ISBN 13: 9786200472540
• Einband: Taschenbuch
• Anzahl der Seiten: 88
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Editions Vie; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland