A comprehensive review on smart decision support systems for health care
Medical activity requires responsibility not only based on knowledge and clinical skills, but
also in managing a vast amount of information related to patient care. It is through the …
also in managing a vast amount of information related to patient care. It is through the …
Computer aided‐diagnosis of prostate cancer on multiparametric MRI: a technical review of current research
Prostate cancer (PCa) is the most commonly diagnosed cancer among men in the United
States. In this paper, we survey computer aided‐diagnosis (CADx) systems that use …
States. In this paper, we survey computer aided‐diagnosis (CADx) systems that use …
Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks
Automated methods for prostate cancer (PCa) diagnosis in multi-parametric magnetic
resonance imaging (MP-MRIs) are critical for alleviating requirements for interpretation of …
resonance imaging (MP-MRIs) are critical for alleviating requirements for interpretation of …
Prostate cancer classification with multiparametric MRI transfer learning model
Purpose Prostate cancer classification has a significant impact on the prognosis and
treatment planning of patients. Currently, this classification is based on the Gleason score …
treatment planning of patients. Currently, this classification is based on the Gleason score …
Automated detection of clinically significant prostate cancer in mp-MRI images based on an end-to-end deep neural network
Automated methods for detecting clinically significant (CS) prostate cancer (PCa) in multi-
parameter magnetic resonance images (mp-MRI) are of high demand. Existing methods …
parameter magnetic resonance images (mp-MRI) are of high demand. Existing methods …
Objective risk stratification of prostate cancer using machine learning and radiomics applied to multiparametric magnetic resonance images
Multiparametric magnetic resonance imaging (mpMRI) has become increasingly important
for the clinical assessment of prostate cancer (PCa), but its interpretation is generally …
for the clinical assessment of prostate cancer (PCa), but its interpretation is generally …
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 …
Advanced ultrasound in the diagnosis of prostate cancer
JM Correas, EJ Halpern, RG Barr, S Ghai, J Walz… - World journal of …, 2021 - Springer
The diagnosis of prostate cancer (PCa) can be challenging due to the limited performance of
current diagnostic tests, including PSA, digital rectal examination and transrectal …
current diagnostic tests, including PSA, digital rectal examination and transrectal …
Automated prostate cancer detection using T2‐weighted and high‐b‐value diffusion‐weighted magnetic resonance imaging
Purpose: The authors propose a computer‐aided diagnosis (CAD) system for prostate
cancer to aid in improving the accuracy, reproducibility, and standardization of …
cancer to aid in improving the accuracy, reproducibility, and standardization of …
Computer-aided detection of prostate cancer with MRI: technology and applications
One in six men will develop prostate cancer in his lifetime. Early detection and accurate
diagnosis of the disease can improve cancer survival and reduce treatment costs. Recently …
diagnosis of the disease can improve cancer survival and reduce treatment costs. Recently …