Open AccessBreast Cancer Detection System Using Deep Learning
Author(s) -
Sharada K. A,
Samreen Fathima S,
Sayeda Fathimunissa,
Vishnu Raj S,
Sonu Surendran
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.41149
Subject(s) - python (programming language) , computer science , artificial intelligence , deep learning , breast cancer , random forest , process (computing) , machine learning , cancer detection , cancer , pattern recognition (psychology) , medicine , operating system
Breast Cancer detection and classification is very hard. In fact, tumor or cancer is a complex process during which mammogram images undergoes various transformations. In addition, different areas of image which exhibit variable and high appearance are characterized by various tissues. Our main benefaction of this process is image classification for cancer prediction and improvise its performance. We have trained and tested the implementation of our work on an opensource dataset. This project will be developed using python3. The project will be deployed on Jupyter IDE. Overall this project focuses on providing maximum performance and efficiency. Keywords: Mammogram, Python, Jupiter,Deep Learning, Artificial Intelligence, Cancer, Image Classification.