Cancer Detection Based on Image Classification by Using Convolution Neural Network

被引：0

作者：

Shah, Mohammad Anas ^{[1
]}

Nour, Abdala ^{[1
]}

Ngom, Alioune ^{[1
]}

Rueda, Luis ^{[1
]}

机构：

[1] Univ Windsor, Sch Comp Sci, Windsor, ON, Canada

来源：

BIOINFORMATICS AND BIOMEDICAL ENGINEERING (IWBBIO 2020) | 2020年 / 12108卷

基金：

加拿大自然科学与工程研究理事会;

关键词：

Image breast cancer; Malignant; Benign; Convolutional neural network; Algorithms; Prediction; Deep learning;

D O I：

10.1007/978-3-030-45385-5_25

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Breast cancer starts when cells in the breast begin to grow out of control. These cells usually form a tumor that can often be seen on an x-ray or felt as a lump. The tumor is malignant (cancer) if the cells can grow into (invade) surrounding tissues or spread (metastasize) to distant areas of the body. The challenge of this project was to build an algorithm by using a neural network to automatically identify whether a patient is suffering from breast cancer by looking at biopsy images. The algorithm must be accurate because the lives of people are at stake.

引用

页码：275 / 286

页数：12

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