Computer Aided Diagnosis of Clustered Microcalcifications Using Artificial Neural Nets
نویسندگان
چکیده
منابع مشابه
Computer Aided Diagnosis of Clustered Microcalcifications Using Artificial Neural Nets
Material and Methods: Mammographic films with clustered microcalcifications of known histology were digitized. All clusters were rated by two radiologists on a 3 point scale: benign, indeterminate and malignant. Automated detected clustered microcalcifications were clustered. Features derived from those clusters were used as input to 2 artificial neural nets: one was trained to identify the ind...
متن کاملComputer aided detection system for clustered microcalcifications :
We have developed a computer-aided detection (CAD) system to detect clustered microcalcification automatically on full-field digital mammograms (FFDMs) and a CAD system for screen-film mammograms (SFMs). The two systems used the same computer vision algorithms but their false positive (FP) classifiers were trained separately with sample images of each modality. In this study, we compared the pe...
متن کاملComputer aided detection of clustered microcalcifications in digitized mammograms using Gabor functions
RATIONALE AND OBJECTIVES We investigated a computer-aided detection (CAD) scheme for clustered microcalcifications in digitized mammograms. METHODS A multistage CAD scheme was developed and tested. To increase sensitivity, the scheme uses a Gaussian band-pass filter and nonlinear threshold. A multistage local minimum searching routine and a multilayer topographic feature analysis are used to ...
متن کاملPixel-Based Artificial Neural Networks in Computer-Aided Diagnosis
Artificial neural networks (ANNs) play an essential role in the medical imaging field, including medical image analysis and computer-aided diagnosis (CAD) (Doi 2005; Giger and Suzuki 2007), because objects such as lesions and organs in medical images may not be represented accurately by a simple equation. For example, a lung nodule is generally modeled as a solid sphere, but there are nodules o...
متن کاملClassification of clustered microcalcifications using a Shape Cognitron neural network
A new shape recognition-based neural network built with universal feature planes, called Shape Cognitron (S-Cognitron) is introduced to classify clustered microcalcifications. The architecture of S-Cognitron consists of two modules and an extra layer, called 3D figure layer lies in between. The first module contains a shape orientation layer, built with 20 cell planes of low level universal sha...
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ژورنال
عنوان ژورنال: Journal of Computing and Information Technology
سال: 2000
ISSN: 1330-1136,1846-3908
DOI: 10.2498/cit.2000.02.06