Segmentation and detection of breast cancer in mammograms combining wavelet analysis and genetic algorithm

DC Pereira, RP Ramos, MZ Do Nascimento - Computer methods and …, 2014 - Elsevier
Abstract In Brazil, the National Cancer Institute (INCA) reports more than 50,000 new cases
of the disease, with risk of 51 cases per 100,000 women. Radiographic images obtained …

Application of Gabor wavelet and Locality Sensitive Discriminant Analysis for automated identification of breast cancer using digitized mammogram images

U Raghavendra, UR Acharya, H Fujita, A Gudigar… - Applied Soft …, 2016 - Elsevier
Breast cancer is one of the prime causes of death in women. Early detection may help to
improve the survival rate to a great extent. Mammography is considered as one of the most …

Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution

F Pak, HR Kanan, A Alikhassi - Computer methods and programs in …, 2015 - Elsevier
Breast cancer is one of the most perilous diseases among women. Breast screening is a
method of detecting breast cancer at a very early stage which can reduce the mortality rate …

Fusion of local and global features for classification of abnormality in mammograms

AC Phadke, PP Rege - Sādhanā, 2016 - Springer
Mammography is the most widely used tool for the early detection of breast cancer.
Computer-based algorithms can be developed to improve diagnostic information in …

Soft, hard and block thresholding techniques for denoising of mammogram images

M Saha, MK Naskar, BN Chatterji - IETE Journal of Research, 2015 - Taylor & Francis
Mammogram is an easy and affordable means of diagnosis of breast cancer. Like other
medical data, it is also affected by noise during acquisition. Therefore, it is a challenge for …

Wavelet-based smoke detection in outdoor video sequences

R Gonzalez-Gonzalez… - 2010 53rd IEEE …, 2010 - ieeexplore.ieee.org
In this paper an approach to detect smoke columns from outdoor forest video sequences is
proposed. The approach follows three basic steps. The first step is an image pre-processing …

Health care improvement: Comparative analysis of two CAD systems in mammographic screening

M Rizzi, M D'Aloia, C Guaragnella… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Technological innovations have produced remarkable results in the health care sector. In
particular, computer-aided detection (CAD) systems are becoming very useful and helpful in …

[PDF][PDF] Detection and classification of microcalcifications using discrete wavelet transform

AC Phadke, PP Rege - International Journal of Emerging Trends & …, 2013 - Citeseer
Microcalcifications in mammograms are an important early sign of breast cancer and their
early detection is very important to improve its diagnosis. Many times microcalcification …

A new conditional region growing approach for microcalcification delineation in mammograms

A Touil, K Kalti, PH Conze, B Solaiman… - Medical & Biological …, 2021 - Springer
Microcalcifications (MCs) are considered as the first indicator of breast cancer development.
Their morphology, in terms of shape and size, is considered as the most important criterion …

[PDF][PDF] Analysis of the efect of fatigue on walking gait using acceleration sensor placed on the waist

M Arif, Y Ohtaki, R Nagatomi, H Inooka - … Intelligent Systems Electrical …, 2010 - academia.edu
In this paper, we have studied the effect of fatigue on walking gait during normal walking.
Acceleration of COG in lateral, vertical and anterior/posterior directions were recorded and …