Breast Cancer Using Deep Learning and Histopathology Images

Author:

Hajiarbabi Mohammadreza1

Affiliation:

1. Purdue University Fort Wayne

Abstract

Abstract Breast cancer is among one of the most common cancers in the world. Early detection in this area can be crucial and help the patients to start the medication. One way to detect the breast cancer is using histopathology images. In recent years deep learning methods are among the methods that have shown high accuracy in detection cancerous tumors in images. In this work different deep learning methods such as Xception, MobileVNet, VGG16 and VGG19 have been used and the results are compared. Two popular datasets in breast cancer have been used. Transfer learning is used for pre-training the structures. In addition, different preprocessing methods is introduced and used to increase the number of images in the dataset.

Publisher

Research Square Platform LLC

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep Medical Imaging, Analysis the Brest Cancer Mammography;Lecture Notes in Networks and Systems;2024

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