Artificial intelligence in cancer imaging: clinical challenges and applications
Judgement, as one of the core tenets of medicine, relies upon the integration of multilayered
data with nuanced decision making. Cancer offers a unique context for medical decisions …
data with nuanced decision making. Cancer offers a unique context for medical decisions …
Radiological images and machine learning: trends, perspectives, and prospects
The application of machine learning to radiological images is an increasingly active
research area that is expected to grow in the next five to ten years. Recent advances in …
research area that is expected to grow in the next five to ten years. Recent advances in …
[HTML][HTML] Prostate cancer detection using deep convolutional neural networks
Prostate cancer is one of the most common forms of cancer and the third leading cause of
cancer death in North America. As an integrated part of computer-aided detection (CAD) …
cancer death in North America. As an integrated part of computer-aided detection (CAD) …
Deep learning regression for prostate cancer detection and grading in bi-parametric MRI
One of the most common types of cancer in men is prostate cancer (PCa). Biopsies guided
by biparametric magnetic resonance imaging (MRI) can aid PCa diagnosis. Previous works …
by biparametric magnetic resonance imaging (MRI) can aid PCa diagnosis. Previous works …
PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images
Grand challenges stimulate advances within the medical imaging research community;
within a competitive yet friendly environment, they allow for a direct comparison of …
within a competitive yet friendly environment, they allow for a direct comparison of …
Semi-automatic classification of prostate cancer on multi-parametric MR imaging using a multi-channel 3D convolutional neural network
Objective To present a deep learning–based approach for semi-automatic prostate cancer
classification based on multi-parametric magnetic resonance (MR) imaging using a 3D …
classification based on multi-parametric magnetic resonance (MR) imaging using a 3D …
[HTML][HTML] Deep learning for fully automatic detection, segmentation, and Gleason grade estimation of prostate cancer in multiparametric magnetic resonance images
OJ Pellicer-Valero, JL Marenco Jimenez… - Scientific reports, 2022 - nature.com
Although the emergence of multi-parametric magnetic resonance imaging (mpMRI) has had
a profound impact on the diagnosis of prostate cancers (PCa), analyzing these images …
a profound impact on the diagnosis of prostate cancers (PCa), analyzing these images …
[HTML][HTML] Automated classification of significant prostate cancer on MRI: a systematic review on the performance of machine learning applications
Significant prostate carcinoma (sPCa) classification based on MRI using radiomics or deep
learning approaches has gained much interest, due to the potential application in assisting …
learning approaches has gained much interest, due to the potential application in assisting …
Fully automated detection of breast cancer in screening MRI using convolutional neural networks
Current computer-aided detection (CADe) systems for contrast-enhanced breast MRI rely on
both spatial information obtained from the early-phase and temporal information obtained …
both spatial information obtained from the early-phase and temporal information obtained …
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 …