Cloud Computing with Machine Learning Could Help Us in the Early Diagnosis of Breast Cancer
- Title
- Cloud Computing with Machine Learning Could Help Us in the Early Diagnosis of Breast Cancer
- Creator
- Bhat J.A.; George V.; Malik B.
- Description
- The purpose of this study is to develop tools which could help the clinicians in the primary care hospitals with the early diagnosis of breast cancer diagnosis. Breast cancer is one of the leading forms of cancer in developing countries and often gets detected at the lateral stages. The detection of cancer at later stages results not only in pain and in agony to the patients but also puts lot of financial burden on the caregivers. In this work, we are presenting the preliminary results of the project code named BCDM (Breast Cancer Diagnosis using Machine Learning) developed using Mat lab. The algorithm developed in this research cancer work based on adaptive resonance theory. In this research work, we concluded how Art 1 network will help in classification of breast. The aim of the project is to eventually run the algorithm on a cloud computer and a clinician at a primary healthcare can use the system for the early diagnosis of the patients using web based interface from anywhere in the world. 2015 IEEE.
- Source
- Proceedings - 2015 2nd IEEE International Conference on Advances in Computing and Communication Engineering, ICACCE 2015, pp. 644-648.
- Date
- 2015-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Adaptive Resonance theory; Breast Cancer Diagnosis; FNA
- Coverage
- Bhat J.A., Department of Computer Science and Engineering, Christ University, Bangalore, India; George V., Department of Computer Science and Engineering, Christ University, Bangalore, India; Malik B., USIC Department, Kashmir University, Srinagar Kashmir, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-147991734-1
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Bhat J.A.; George V.; Malik B., “Cloud Computing with Machine Learning Could Help Us in the Early Diagnosis of Breast Cancer,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/21028.