Computer-aided detection and diagnosis for prostate cancer based on mono and multi-parametric MRI: a review
Prostate cancer is the second most diagnosed cancer of men all over the world. In the last
few decades, new imaging techniques based on Magnetic Resonance Imaging (MRI) have …
few decades, new imaging techniques based on Magnetic Resonance Imaging (MRI) have …
Multiparametric MRI and radiomics in prostate cancer: a review
Y Sun, HM Reynolds, B Parameswaran… - Australasian physical & …, 2019 - Springer
Multiparametric MRI (mpMRI) is an imaging modality that combines anatomical MR imaging
with one or more functional MRI sequences. It has become a versatile tool for detecting and …
with one or more functional MRI sequences. It has become a versatile tool for detecting and …
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 …
Recent automatic segmentation algorithms of MRI prostate regions: a review
World-wide incidence rate of prostate cancer has progressively increased with time
especially with the increased proportion of elderly population. Early detection of prostate …
especially with the increased proportion of elderly population. Early detection of prostate …
AI‐Enhanced Diagnosis of Challenging Lesions in Breast MRI: A Methodology and Application Primer
Computer‐aided diagnosis (CAD) systems have become an important tool in the
assessment of breast tumors with magnetic resonance imaging (MRI). CAD systems can be …
assessment of breast tumors with magnetic resonance imaging (MRI). CAD systems can be …
Current status and future perspectives of artificial intelligence in magnetic resonance breast imaging
Recent advances in artificial intelligence (AI) and deep learning (DL) have impacted many
scientific fields including biomedical maging. Magnetic resonance imaging (MRI) is a well …
scientific fields including biomedical maging. Magnetic resonance imaging (MRI) is a well …
Predicting prostate tumour location from multiparametric MRI using Gaussian kernel support vector machines: a preliminary study
The performance of a support vector machine (SVM) algorithm was investigated to predict
prostate tumour location using multi-parametric MRI (mpMRI) data. The purpose was to …
prostate tumour location using multi-parametric MRI (mpMRI) data. The purpose was to …
Computer-aided detection of prostate cancer in T2-weighted MRI within the peripheral zone
A Rampun, L Zheng, P Malcolm… - Physics in Medicine …, 2016 - iopscience.iop.org
In this paper we propose a prostate cancer computer-aided diagnosis (CAD) system and
suggest a set of discriminant texture descriptors extracted from T2-weighted MRI data which …
suggest a set of discriminant texture descriptors extracted from T2-weighted MRI data which …
[HTML][HTML] A systematic review on the evaluation and characteristics of computer-aided diagnosis systems
VM Gonçalves, ME Delamaro… - Revista Brasileira de …, 2014 - SciELO Brasil
INTRODUCTION: One of the challenges in developing Computer-Aided Diagnosis (CAD)
systems is their accurate and comprehensive assessment. This paper presents the …
systems is their accurate and comprehensive assessment. This paper presents the …
Voxel‐based supervised machine learning of peripheral zone prostate cancer using noncontrast multiparametric MRI
N Gholizadeh, J Simpson, S Ramadan… - Journal of applied …, 2020 - Wiley Online Library
Purpose The aim of this study was to develop and assess the performance of supervised
machine learning technique to classify magnetic resonance imaging (MRI) voxels as …
machine learning technique to classify magnetic resonance imaging (MRI) voxels as …