Breast cancer detection in mammograms using convolutional neural network

S Charan, MJ Khan, K Khurshid - … international conference on …, 2018 - ieeexplore.ieee.org
Breast cancer is among world's second most occurring cancer in all types of cancer. Most
common cancer among women worldwide is breast cancer. There is always need of …

A hybrid scheme for breast cancer detection using intuitionistic fuzzy rough set technique

CL Chowdhary, DP Acharjya - Biometrics: Concepts, Methodologies …, 2017 - igi-global.com
Diagnosis of cancer is of prime concern in recent years. Medical imaging is used to analyze
these diseases. But, these images contain uncertainties due to various factors and thus …

Metabolomics in cancer biomarker research

X Wang, S Chen, W Jia - Current Pharmacology Reports, 2016 - Springer
Abstract Purpose of Review As a research tool for quantitative measurement of small
molecule metabolites, metabolomics has been devoted to search for biomarkers that can be …

[HTML][HTML] Mobile phone based system opportunities to home-based managing of chemotherapy side effects

S Davoodi, Z Mohammadzadeh… - Acta Informatica Medica, 2016 - ncbi.nlm.nih.gov
Objective: Applying mobile base systems in cancer care especially in chemotherapy
management have remarkable growing in recent decades. Because chemotherapy side …

[HTML][HTML] MRI image processing based on fractal analysis

MY Marusina, AP Mochalina, EP Frolova… - Asian Pacific Journal …, 2017 - ncbi.nlm.nih.gov
Background: Cancer is one of the most common causes of human mortality, with about 14
million new cases and 8.2 million deaths reported in in 2012. Early diagnosis of cancer …

Fractal dimension analysis as an easy computational approach to improve breast cancer histopathological diagnosis

LG da Silva, WRS da Silva Monteiro… - Applied …, 2021 - Springer
Histopathology is a well-established standard diagnosis employed for the majority of
malignancies, including breast cancer. Nevertheless, despite training and standardization, it …

Online social networks-opportunities for empowering cancer patients

Z Mohammadzadeh, S Davoodi… - Asian Pacific Journal of …, 2016 - journal.waocp.org
Online social network technologies have become important to health and apply in most
health care areas. Particularly in cancer care, because it is a disease which involves many …

Intelligent segmentation and recognition method of breast cancer based on digital image processing technology

X Tang, Y An, C Li - Wireless Communications and Mobile …, 2021 - Wiley Online Library
With the development of digital image technology, judging diseases by medical image plays
an important role in medical diagnosis. Mammography is the most effective imaging …

Breast cancer detection using hybrid computational intelligence techniques

DP Acharjya, CL Chowdhary - Handbook of Research on Emerging …, 2018 - igi-global.com
Diagnosis of cancer is of prime concern in recent years. Medical imaging is used to analyze
these diseases. But, these images contain uncertainties due to various factors and thus …

Bayesian landmark-based shape analysis of tumor pathology images

C Zhang, T Bedi, C Moon, Y Xie… - Journal of the American …, 2024 - Taylor & Francis
Medical imaging is a form of technology that has revolutionized the medical field over the
past decades. Digital pathology imaging, which captures histological details at the cellular …