Representation learning for mammography mass lesion classification with convolutional neural networks

J Arevalo, FA González, R Ramos-Pollán… - Computer methods and …, 2016 - Elsevier
Background and objective The automatic classification of breast imaging lesions is currently
an unsolved problem. This paper describes an innovative representation learning …

Secure blockchain enabled Cyber-Physical health systems using ensemble convolution neural network classification

M Ramanan, L Singh, AS Kumar, A Suresh… - Computers and …, 2022 - Elsevier
Breast cancer is the most widely recognized malignancy affecting women. The risk of death
has been consistently associated with breast cancer. In addition, the cyber-physical system …

Convolutional neural networks for mammography mass lesion classification

J Arevalo, FA González… - 2015 37th Annual …, 2015 - ieeexplore.ieee.org
Feature extraction is a fundamental step when mammography image analysis is addressed
using learning based approaches. Traditionally, problem dependent handcrafted features …

Multiple-instance learning for anomaly detection in digital mammography

G Quellec, M Lamard, M Cozic… - Ieee transactions on …, 2016 - ieeexplore.ieee.org
This paper describes a computer-aided detection and diagnosis system for breast cancer,
the most common form of cancer among women, using mammography. The system relies on …

[HTML][HTML] A deep convolutional neural network for the early detection of breast carcinoma with respect to hyper-parameter tuning

D Saranyaraj, M Manikandan, S Maheswari - Multimedia Tools and …, 2020 - Springer
Medical image processing needs attention towards accurate analysis rate which directly
implies on the treatment. This paper focuses on the mammogram image analysis for early …

Image de-noising and edge segmentation using bilateral filtering and gabor-cut for edge representation of a breast tumor

D Saranyaraj - 2022 International Conference on Engineering …, 2022 - ieeexplore.ieee.org
Breast cancer is the globe's initial highest death-causing cancer in women which is given to
the international agency of analysis on cancer-the World Health organization and the …

An automatic mammogram system: from screening to diagnosis

ICMS Domingues - 2015 - search.proquest.com
O cancro mais frequente nas mulheres de todo o mundo é o cancro da mama, sendo a
principal causa de morte por cancro em mulheres, sobretudo na faixa etária dos 40 aos 55 …

Region of Interest and Feature-based Analysis to Detect Breast Cancer from a Mammogram Image

D Saranyaraj, R Vaisshale… - … Conference On Innovative …, 2023 - Springer
This paper discusses the categorisation of breast cancer based on mammography images—
MLO perspective. This research presents a method for finding malignant tumours in …

Aplicación de técnicas de inteligencia artificial para contribuir en la detección de microcalcificaciones en mamografía digitalizada

J Quintanilla Domínguez - 2015 - oa.upm.es
A nivel mundial, el cáncer de mama es el tipo de cáncer más frecuente además de una de
las principales causas de muerte entre la población femenina. Actualmente, el método más …

A Novel Algorithm for the Automatic Detection and Classification of Microcalcification Clusters Using Wavelets

SS Tawani, AA Gurjar - … on Innovative Trends and Advances in …, 2019 - ieeexplore.ieee.org
In the cancerous women society breast cancer can be found to be Second harmful cancer
which causes death. According to statistical data the death rates are increasing in every …