[HTML][HTML] A curated mammography data set for use in computer-aided detection and diagnosis research
Published research results are difficult to replicate due to the lack of a standard evaluation
data set in the area of decision support systems in mammography; most computer-aided …
data set in the area of decision support systems in mammography; most computer-aided …
[PDF][PDF] Image processing and machine learning techniques used in computer-aided detection system for mammogram screening-A review
This paper aims to review the previously developed Computer-aided detection (CAD)
systems for mammogram screening because increasing death rate in women due to breast …
systems for mammogram screening because increasing death rate in women due to breast …
Detection of pathological brain in MRI scanning based on wavelet-entropy and naive Bayes classifier
X Zhou, S Wang, W Xu, G Ji, P Phillips, P Sun… - … , IWBBIO 2015, Granada …, 2015 - Springer
An accurate diagnosis is important for the medical treatment of patients suffered from brain
disease. Nuclear magnetic resonance images are commonly used by technicians to assist …
disease. Nuclear magnetic resonance images are commonly used by technicians to assist …
Automated identification of infarcted myocardium tissue characterization using ultrasound images: a review
Myocardial infarction (MI) or acute myocardial infarction commonly known as heart attack is
one of the major causes of cardiac death worldwide. It occurs when the blood supply to the …
one of the major causes of cardiac death worldwide. It occurs when the blood supply to the …
Computer-aided diagnosis of myocardial infarction using ultrasound images with DWT, GLCM and HOS methods: a comparative study
Myocardial Infarction (MI) or acute MI (AMI) is one of the leading causes of death worldwide.
Precise and timely identification of MI and extent of muscle damage helps in early treatment …
Precise and timely identification of MI and extent of muscle damage helps in early treatment …
A new feature extraction method based on multi-resolution representations of mammograms
N Gedik - Applied Soft Computing, 2016 - Elsevier
In this paper, I introduce a new method for feature extraction to classify digital mammograms
using fast finite shearlet transform. Initially, fast finite shearlet transform was performed over …
using fast finite shearlet transform. Initially, fast finite shearlet transform was performed over …
Detection and classification of mammary lesions using artificial neural networks and morphological wavelets
TN Cruz, TM Cruz, WP Santos - IEEE Latin America …, 2018 - ieeexplore.ieee.org
Breast cancer is a worldwide public health problem, with a high rate of incidence and
mortality. The most widely used to perform early on possible abnormalities in breast tissue is …
mortality. The most widely used to perform early on possible abnormalities in breast tissue is …
[PDF][PDF] Comparative study of user experience on mobile pedestrian navigation between digital map interface and location-based augmented reality
Fast-paced mobile technology development has permitted augmented reality experiences to
be delivered on mobile pedestrian navigation context. The fact that the more prevalent of this …
be delivered on mobile pedestrian navigation context. The fact that the more prevalent of this …
[HTML][HTML] Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset
Purpose To compare machine learning methods for classifying mass lesions on
mammography images that use predefined image features computed over lesion …
mammography images that use predefined image features computed over lesion …
[PDF][PDF] Breast cancer detection and diagnosis using machine learning: a survey
Breast cancer is one of the most widespread diseases causing death among women
worldwide. Whenever a suspicion is raised, periodical exams usually including digital …
worldwide. Whenever a suspicion is raised, periodical exams usually including digital …