Early diagnosis and detection of breast cancer

M Milosevic, D Jankovic, A Milenkovic… - … and Health Care, 2018 - content.iospress.com
BACKGROUND: Breast cancer is the most common malignancy in women. It is often
characterized by a lack of early symptoms, which results in late detection of the disease …

Medical imaging techniques and computer aided diagnostic approaches for the detection of breast cancer with an emphasis on thermography-a review

D Sathish, S Kamath, KV Rajagopal… - … journal of medical …, 2016 - inderscienceonline.com
In this article, a study of various medical imaging modalities and survey of computer aided
detection (CAD) approaches used for the detection of breast cancer are presented. Early …

A new fuzzy Gaussian mixture model (FGMM) based algorithm for mammography tumor image classification

S Aminikhanghahi, S Shin, W Wang, SI Jeon… - Multimedia Tools and …, 2017 - Springer
Computer aided diagnosis systems are recently introduced to increase the accuracy of
mammography interpretation. This paper introduces a new classification algorithm based on …

Automatic classification of masses from digital mammograms

BA Mohamed, NM Salem - 2018 35th National radio science …, 2018 - ieeexplore.ieee.org
Cancer of the breast remains to be one among the foremost factors behind death between
women. The early detection and recognition of breast cancer increases the probabilities of …

Enhanced breast cancer classification with automatic thresholding using SVM and Harris corner detection

M Taheri, G Hamer, SH Son, SY Shin - Proceedings of the international …, 2016 - dl.acm.org
Image classification and extracting the characteristics of a tumor are the powerful tools in
medical science. In case of breast cancer medical treatment, the breast cancer classification …

[PDF][PDF] Detection of tumor in MRI images using artificial neural networks

AQ Syed, K Narayanan - International Journal of Advanced Research in …, 2014 - Citeseer
Automatic defects detection in MR images is very important in many diagnostic and
therapeutic applications. Because of high quantity data in MR images and blurred …

An investigative study on early diagnosis of breast cancer using a new approach of mathematical shape theory and neuro-fuzzy classification system

S Kar, DD Majumder - International Journal of Fuzzy Systems, 2016 - Springer
Breast cancer is one of the main causes of death among women in the world. For the early
detection and classification of the abnormal growth of masses in the breast either in benign …

Effective tumor feature extraction for smart phone based microwave tomography breast cancer screening

S Aminikhanghahi, W Wang, S Shin, SH Son… - Proceedings of the 29th …, 2014 - dl.acm.org
Mobile Microwave Tomography (MMT) is a new alternative technique to detect breast cancer
using smart phone based electronic healthcare system. In this paper, we propose a new …

Study of wireless mammography image transmission impacts on robust cyber-aided diagnosis systems

S Aminikhanghahi, S Shin, W Wang, SI Jeon… - Proceedings of the 30th …, 2015 - dl.acm.org
Wireless cyber-mammography is potentially a convenient screening method to be
comfortable and effective in community and rural area early detection of breast cancer, but …

Breast cancer prediction and trail using machine learning and image processing

Y Venugeetha, BM Harshitha, KP Charitha… - … 2020: Proceedings of …, 2022 - Springer
As per WHO, there are more than 2.09 million cases furthermore 627,000 deaths globally
women are diagnosed with breast cancer worldwide annually. It is one of the common …