ISSN 2394-5125
 

Research Article 


BREAST CANCER CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK AND TRANSFER LEARNING ON HISTOLOGY IMAGES

Gagan Jindal, Geetanjali Babbar.

Abstract
Abstract
From past few years, the breast cancer is the second main cause for deaths of women around the world. Previously, breast
cancer cell was being detected with the help of biopsy and pathologist which was the only way. In recent years, computer aided
technique machine learning is introduced in which computer first trains on specific patterns on breast cancer cell
histopathological images and then detect whether cell is cancerous or not. In this paper, comparison of two approaches is made
for classification of breast cancer into benign and malignant using histopathological images. First approach is artificial neural
networks in which features are being carried out with the help of 30 hidden units present in three hidden layers (10 units in each
layer) and after then features are embed in softmax layer for classification of benign and malignant cancer. In second approach,
transfer learning technique VGG19 model is use for classification. The result shows VGG19 transfer learning model perform
better in comparison to artificial neural network where VGG19 achieve 98.4% accuracy and artificial neural network achieve
83% accuracy

Key words: Index Termsó Convolutional neural networks, breast cancer, artificial neural network, image classification, transfer learning.


 
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Pubmed Style

Gagan Jindal, Geetanjali Babbar. BREAST CANCER CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK AND TRANSFER LEARNING ON HISTOLOGY IMAGES. JCR. 2020; 7(17): 2622-2634. doi:10.31838/jcr.07.17.326


Web Style

Gagan Jindal, Geetanjali Babbar. BREAST CANCER CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK AND TRANSFER LEARNING ON HISTOLOGY IMAGES. http://www.jcreview.com/?mno=100544 [Access: August 17, 2021]. doi:10.31838/jcr.07.17.326


AMA (American Medical Association) Style

Gagan Jindal, Geetanjali Babbar. BREAST CANCER CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK AND TRANSFER LEARNING ON HISTOLOGY IMAGES. JCR. 2020; 7(17): 2622-2634. doi:10.31838/jcr.07.17.326



Vancouver/ICMJE Style

Gagan Jindal, Geetanjali Babbar. BREAST CANCER CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK AND TRANSFER LEARNING ON HISTOLOGY IMAGES. JCR. (2020), [cited August 17, 2021]; 7(17): 2622-2634. doi:10.31838/jcr.07.17.326



Harvard Style

Gagan Jindal, Geetanjali Babbar (2020) BREAST CANCER CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK AND TRANSFER LEARNING ON HISTOLOGY IMAGES. JCR, 7 (17), 2622-2634. doi:10.31838/jcr.07.17.326



Turabian Style

Gagan Jindal, Geetanjali Babbar. 2020. BREAST CANCER CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK AND TRANSFER LEARNING ON HISTOLOGY IMAGES. Journal of Critical Reviews, 7 (17), 2622-2634. doi:10.31838/jcr.07.17.326



Chicago Style

Gagan Jindal, Geetanjali Babbar. "BREAST CANCER CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK AND TRANSFER LEARNING ON HISTOLOGY IMAGES." Journal of Critical Reviews 7 (2020), 2622-2634. doi:10.31838/jcr.07.17.326



MLA (The Modern Language Association) Style

Gagan Jindal, Geetanjali Babbar. "BREAST CANCER CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK AND TRANSFER LEARNING ON HISTOLOGY IMAGES." Journal of Critical Reviews 7.17 (2020), 2622-2634. Print. doi:10.31838/jcr.07.17.326



APA (American Psychological Association) Style

Gagan Jindal, Geetanjali Babbar (2020) BREAST CANCER CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK AND TRANSFER LEARNING ON HISTOLOGY IMAGES. Journal of Critical Reviews, 7 (17), 2622-2634. doi:10.31838/jcr.07.17.326