Early Breast Cancer Predictor Using Image Processing

Project Title

Early Breast Cancer Predictor Using Image Processing

Project Area of Specialization Artificial IntelligenceProject Summary

Our system would read-in the mammograms of patients, process those images and detect the early symptoms of breast cancer. The system would produce a report identifying whether the patient is at the risk of developing breast cancer in future.

Project Objectives

To detect the types of cancer in breast: benign calcificaion, benign mass, malignant calcification, malignant mass

Project Implementation Method

Convolutional Neural Network -ResNet50 Architecture.

Keras with tensorflow back end

pydicom library to deal wit dicom images

Benefits of the Project

In Developed nations, the breast cancer rate is relatively high. Early detection of breast cancer can improve survival rates to a great extent. Inter-observer and intra-observer errors occur frequently in analysis of medical images, given the high variability between interpretations of different radiologists. The early diagnosis of breast cancer can improve the prognosis and chance of survival significantly.

Technical Details of Final Deliverable

A program in python with UI interface that would take in memmogram and predict cancer and tell the stage if it is present

Final Deliverable of the Project Software SystemCore Industry ITOther IndustriesCore Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	25000
Zong Device	Equipment	1	3000	3000
6 month bundle	Equipment	1	12000	12000
cloud service	Equipment	1	10000	10000