Journal ArticleDOI
Mammogram retrieval on similar mass lesions
TLDR
A content-based mammogram retrieval system, which allows medical professionals to seek mass lesions that are pathologically similar to a given example, and which can achieve the highest precision among all mass lesion types.About:
This article is published in Computer Methods and Programs in Biomedicine.The article was published on 2012-06-01. It has received 64 citations till now. The article focuses on the topics: Content-based image retrieval & Similarity measure.read more
Citations
More filters
Computer vision : a modern approach = 计算机视觉 : 一种现代的方法
David Forsyth,Jean Ponce +1 more
TL;DR: Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance and describes numerous important application areas such as image based rendering and digital libraries.
Journal ArticleDOI
Benign and malignant breast tumors classification based on region growing and CNN segmentation
TL;DR: Two automated methods to diagnose mass types of benign and malignant in mammograms are presented and different classifiers (such as random forest, naive Bayes, SVM, and KNN) are used to evaluate the performance of the proposed methods.
Journal ArticleDOI
Computer-Aided Breast Cancer Detection Using Mammograms: A Review
TL;DR: This review aims at providing an overview about recent advances and developments in the field of Computer-Aided Diagnosis (CAD) of breast cancer using mammograms, specifically focusing on the mathematical aspects of the same, aiming to act as a mathematical primer for intermediates and experts inThe field.
Journal ArticleDOI
An evaluation of image descriptors combined with clinical data for breast cancer diagnosis
TL;DR: A new descriptor based on the divergence of the gradient (HGD) was demonstrated to be a feasible predictor of breast masses’ diagnosis, demonstrating promising capabilities to describe masses.
Journal ArticleDOI
Computer-aided diagnosis of mammographic masses based on a supervised content-based image retrieval approach
Lazaros T. Tsochatzidis,Konstantinos Zagoris,Nikolaos Arikidis,Anna Karahaliou,Lena Costaridou,Ioannis Pratikakis +5 more
TL;DR: The incorporation of content-based image retrieval into computer aided diagnosis (CADx) is investigated, in order to contribute to the decision-making process of radiologists in the characterization of mammographic masses.
References
More filters
Journal ArticleDOI
Textural Features for Image Classification
TL;DR: These results indicate that the easily computable textural features based on gray-tone spatial dependancies probably have a general applicability for a wide variety of image-classification applications.
Journal ArticleDOI
Medical image analysis: progress over two decades and the challenges ahead
James S. Duncan,Nicholas Ayache +1 more
TL;DR: A look at progress in the field over the last 20 years is looked at and some of the challenges that remain for the years to come are suggested.
Computer vision : a modern approach = 计算机视觉 : 一种现代的方法
David Forsyth,Jean Ponce +1 more
TL;DR: Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance and describes numerous important application areas such as image based rendering and digital libraries.
Book
Computer Vision: A Modern Approach
David Forsyth,Jean Ponce +1 more
TL;DR: The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications as discussed by the authors, which includes essential topics that either reflect practical significance or are of theoretical importance.
Journal ArticleDOI
Approaches for automated detection and classification of masses in mammograms
TL;DR: The methods for mass detection and classification for breast cancer diagnosis are discussed, and their advantages and drawbacks are compared.