Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods
Prostate cancer represents today the most typical example of a pathology whose diagnosis
requires multiparametric imaging, a strategy where multiple imaging techniques are …
requires multiparametric imaging, a strategy where multiple imaging techniques are …
Fully automated breast boundary and pectoral muscle segmentation in mammograms
Breast and pectoral muscle segmentation is an essential pre-processing step for the
subsequent processes in computer aided diagnosis (CAD) systems. Estimating the breast …
subsequent processes in computer aided diagnosis (CAD) systems. Estimating the breast …
Breast mass classification in mammograms using ensemble convolutional neural networks
The paper presents quantitative results of a preliminary study undertaken as part of Decision
Support and Information Management System for Breast Cancer (DESIREE). DESIREE is a …
Support and Information Management System for Breast Cancer (DESIREE). DESIREE is a …
Breast density classification using local quinary patterns with various neighbourhood topologies
This paper presents an extension of work from our previous study by investigating the use of
Local Quinary Patterns (LQP) for breast density classification in mammograms on various …
Local Quinary Patterns (LQP) for breast density classification in mammograms on various …
Machine learning will change medicine
M Forsting - Journal of Nuclear Medicine, 2017 - Soc Nuclear Med
Why do we need artificial intelligence (AI) algorithms, or machine learning, in medicine? Is
there not enough “natural” intelligence among physicians? Well, that clearly depends on the …
there not enough “natural” intelligence among physicians? Well, that clearly depends on the …
Segmentation of breast MR images using a generalised 2D mathematical model with inflation and deflation forces of active contours
In medical computer aided diagnosis systems, image segmentation is one of the major pre-
processing steps used to ensure only the region of interest, such as the breast region, will be …
processing steps used to ensure only the region of interest, such as the breast region, will be …
Classification of mammographic microcalcification clusters with machine learning confidence levels
This paper presents a novel investigation of machine learning performance by examining
probability outputs in conjunction with classification accuracy (CA) and area under the curve …
probability outputs in conjunction with classification accuracy (CA) and area under the curve …
Prostate cancer detection in screening using magnetic resonance imaging and artificial intelligence
CR Nelson, J Ekberg, K Fridell - The Open Artificial Intelligence …, 2020 - benthamopen.com
Background: Prostate cancer is a leading cause of death among men who do not participate
in a screening programme. MRI forms a possible alternative for prostate analysis of a higher …
in a screening programme. MRI forms a possible alternative for prostate analysis of a higher …
3d texton based prostate cancer detection using multiparametric magnetic resonance imaging
L Wang, R Zwiggelaar - … conference on medical image understanding and …, 2017 - Springer
Multiparametric magnetic resonance imaging (mp-MRI) has shown its potential in prostate
cancer detection. In this study, we investigate the application of 3D texton based prostate …
cancer detection. In this study, we investigate the application of 3D texton based prostate …
Autonomous Prostate Segmentation in 2D B-Mode Ultrasound Images
Prostate brachytherapy is a treatment for prostate cancer; during the planning of the
procedure, ultrasound images of the prostate are taken. The prostate must be segmented …
procedure, ultrasound images of the prostate are taken. The prostate must be segmented …