Malignant and Benign Mass Segmentation in Mammograms Using Active Contour Methods
نویسندگان
چکیده
منابع مشابه
Malignant and Benign Mass Segmentation in Mammograms Using Active Contour Methods
The correct segmentation of tumours can simplify formulate the diagnostic hypothesis, particularly in cases of irregular shapes, with fuzzy margins or spicules growing into the surrounding tissue, which are more likely to be malignant. In this study, the following active contour methods were used to segment the masses: an edge–based active contour model using an inflation/deflation force with a...
متن کاملA Contour-based Mass Segmentation in Mammograms
This paper presents a novel segmentation method for identifying mass regions in mammograms. This work is a part of an on-going project whose aim is to build a Computer-Aided Diagnosis (CADx) system that classifies suspicious cancer masses in mammograms as benign or malignant. Segmentation of suspicious mass regions is an important pre-processing step to achieve high accuracy results, because th...
متن کاملBreast mass contour segmentation algorithm in digital mammograms
Many computer aided diagnosis (CAD) systems help radiologist on difficult task of mass detection in a breast mammogram and, besides, they also provide interpretation about detected mass. One of the most crucial information of a mass is its shape and contour, since it provides valuable information about spread ability of a mass. However, accuracy of shape recognition of a mass highly related wit...
متن کاملWord segmentation in Persian continuous speech using F0 contour
Word segmentation in continuous speech is a complex cognitive process. Previous research on spoken word segmentation has revealed that in fixed-stress languages, listeners use acoustic cues to stress to de-segment speech into words. It has been further assumed that stress in non-final or non-initial position hinders the demarcative function of this prosodic factor. In Persian, stress is retract...
متن کاملLeft Ventricle Segmentation Using Active Contour Model
This study is based on the tracing of the left-ventricular endocardial borders of echocardiographic images. The algorithms used for border detection are the Active Contour Models (ACM) and also the one developed in the EchoPAC software. The mentioned algorithms were applied on apical two chamber view (A2C) in endsystole and end-diastole frames. The overlapping between borders detected using bot...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Symmetry
سال: 2017
ISSN: 2073-8994
DOI: 10.3390/sym9110277