Segmentation techniques for breast cancer imaging modalities-a review

J Dabass, S Arora, R Vig… - 2019 9th International …, 2019 - ieeexplore.ieee.org
In order to visualize the breast cancer radiologists prefer to use mammogram and breast
ultrasound imaging modalities. To detect cancer, a region of interest (ROI) symbolizing …

[PDF][PDF] Mammography Images Segmentation via Fuzzy C-mean and K-mean

MY Kamil, AM Salih - International Journal of Intelligent Engineering and …, 2019 - inass.org
Breast Cancer is one of the common and dangerous among women at the age of forty, so it
is better for woman to have mammography testing as a significant step for the early detection …

Ensemble Learning‐Based Hybrid Segmentation of Mammographic Images for Breast Cancer Risk Prediction Using Fuzzy C‐Means and CNN Model

S Jha, S Ahmad, A Arya, B Alouffi… - Journal of …, 2023 - Wiley Online Library
The research interest in this field is that females are not aware of their health conditions until
they develop tumour, especially when breast cancer is concerned. The breast cancer risk …

Two‐step evidential fusion approach for accurate breast region segmentation in mammograms

R Lajili, K Kalti, A Touil, B Solaiman… - IET Image …, 2018 - Wiley Online Library
In mammograms, the breast skin line often appears ambiguous and poorly defined. This is
mainly due to the breast organ compression during the image acquisition process along with …

Breast Image Segmentation for evaluation of Cancer Disease

TT Nguyen, TH Nguyen, BV Ngo… - 2020 5th International …, 2020 - ieeexplore.ieee.org
Breast cancer is one of dangerous diseases and difficult to cure. It is observed that early
detection of malignancy can help in the diagnosis of the disease and patient can be saved …

Automatic Extraction of breast region in raw mammograms using a combined strategy

C Feudjio, A Tiedeu, J Klein… - 2017 13th International …, 2017 - ieeexplore.ieee.org
Breast region segmentation is a preliminary task in computer-aided-diagnosis (CAD)
systems for breast cancer detection. Its accurate extraction improves CAD performances in …

Computer-aided mammography techniques for detection and classification of microcalcifications in digital mammograms

S Punitha, S Ravi, MA Devi… - International Journal of …, 2018 - inderscienceonline.com
Recent techniques that are developed in computer-aided mammography (CAM) produce
more accurate results in detection and diagnosis of microcalcifications in its earlier state that …

Traitement possibiliste d'images, application au recalage d'images

WB Marzouka - 2022 - theses.hal.science
Dans ce travail, nous proposons un système de recalage géométrique possibiliste qui
fusionne les connaissances sémantiques et les connaissances au niveau du gris des …

The Comparative Study of Segmentation Strategies for Bio-inspired Models of Mammography Images

J Kamalakannan - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Breast cancer is an intense medical issue everywhere throughout the world and one of the
most well-known tumors that cause demise among ladies. To build the recuperation and to …

A Fuzzy Approach for Texture-based Segmentation

PM Martínez-Jiménez… - … on Fuzzy Systems …, 2020 - ieeexplore.ieee.org
In this paper, we propose a fuzzy approach for texture-based segmentation, where both the
obtained regions and the texture features are fuzzy. This way, we have considered the …