Breast Masses Detection using Deep Learning

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breast cancer detection using deep learning
Quick Overview
The proposed system contains four main stages, preprocessing of mammograms, feature extraction utilizing deep convolution networks, mass detection with confidence, and finally mass classification using RCNN.

Platform : Matlab

Delivery : One Working Day

Support : Online Demo ( 2 Hours)

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Breast Cancer Detection using Deep Learning

In this project, we propose a novel Computer-Aided Diagnosis (CAD) system based on one of the regional deep learning techniques, a ROI-based Convolutional Neural Network (CNN) which is called You Only Look Once (YOLO).

Although most previous studies only deal with classification of masses, our proposed system can handle detection and classification simultaneously.

The proposed CAD system contains  preprocessing of mammograms, feature extraction utilizing deep convolutional networks, mass detection with confidence, and finally mass classification using RCNN.

 In this study, we utilized original 60 mammograms from Digital Database for Screening Mammography and their augmented mammograms of 2,400 with the information of the masses and their types in training and testing our CAD.

The trained system detects the masses and then classifies their types into benign or malignant.

Demo Video

For more Image Processing projects ,Click here

 https://www.pantechsolutions.net/image-processing-projects

 For more Deep Learning Projects Click here

https://www.pantechsolutions.net/deep-learning-projects

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