Segmentation of the Breast Masses in Mammograms Using Active Contour for Medical Practice: AR based surgery
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Date
2022-01-24
Journal Title
Journal ISSN
Volume Title
Publisher
University of Eloued جامعة الوادي
Abstract
Images have been one of the most important ways humans have used
to communicate and impart knowledge and information since the dawn of mankind,
as an image can encompass a large amount of information concerning the
quality of life linked to health and particularly in oncology precisely the breast
cancer. New technologies such as Augmented Reality (AR) guidance allows a
surgeon to see sub-surface structures, by overlaying pre-operative imaging data
on a live laparoscopic video. The presence of masses in mammography is particularly
interesting for the early detection of the breast cancer. In this article,
we propose to use a mass detection system, based on two main axes: segmentation
and pretreatment. The latter is based on the suppression of the noise by a
Gaussian filter and mathematical morphology (white Top-Hat transform) in order
to bring out all the spots (Clear Spots) possible to be pathologies. In the second
axis, we are interested in the segmentation of pathologies in mammography
images. This consists of segmenting the object of interest by active contour
models (Chunming Li). Visually, the obtained results are very clear, and show
the good performance of the new approach suggested in this work. This latter
allows extracting successfully the masses starting from the mammography referents
from the database Mini MIAS. The proposed breasts masses detection
can, thus, provide an acceptable accuracy for an AR-based surgery or medicine
courses with scene augmentation of videos, which provides a seamless use of
augmented-reality for surgeons in visualizing cancer tumors.
Description
Forum Intervention of Artificial Intelligence and Its Applications. Faculty of Exat science. University of Eloued
Keywords
Augmented Reality; Mammography; Masses; Mathematical Morphology; Transformation Top-Hat; Chunming Li; Active Contour; Gaussian Filter; medical practice; scene augmentation.
Citation
Guerroudji, Mohamed Amine. Amara, Kahina. Aouam, Djamel. Zenati, Nadia. Djekoune, Oualid. Benbelkacem, Samir. Segmentation of the Breast Masses in Mammograms Using Active Contour for Medical Practice: AR based surgery. Forum of Artificial Intelligence and Its Applications. 24-26 Jan 2022. Faculty of Exat science. University of Eloued. [visited in ../../….]. available from [copy the link here]