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Predicting cancer outcomes with radiomics and artificial intelligence in radiology
The successful use of artificial intelligence (AI) for diagnostic purposes has prompted the
application of AI-based cancer imaging analysis to address other, more complex, clinical …
application of AI-based cancer imaging analysis to address other, more complex, clinical …
Transfer learning techniques for medical image analysis: A review
Medical imaging is a useful tool for disease detection and diagnostic imaging technology
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
has enabled early diagnosis of medical conditions. Manual image analysis methods are …
A sco** review of transfer learning research on medical image analysis using ImageNet
Objective Employing transfer learning (TL) with convolutional neural networks (CNNs), well-
trained on non-medical ImageNet dataset, has shown promising results for medical image …
trained on non-medical ImageNet dataset, has shown promising results for medical image …
ProstAttention-Net: A deep attention model for prostate cancer segmentation by aggressiveness in MRI scans
Multiparametric magnetic resonance imaging (mp-MRI) has shown excellent results in the
detection of prostate cancer (PCa). However, characterizing prostate lesions …
detection of prostate cancer (PCa). However, characterizing prostate lesions …
A review of artificial intelligence in prostate cancer detection on imaging
A multitude of studies have explored the role of artificial intelligence (AI) in providing
diagnostic support to radiologists, pathologists, and urologists in prostate cancer detection …
diagnostic support to radiologists, pathologists, and urologists in prostate cancer detection …
Machine learning applications in prostate cancer magnetic resonance imaging
With this review, we aimed to provide a synopsis of recently proposed applications of
machine learning (ML) in radiology focusing on prostate magnetic resonance imaging (MRI) …
machine learning (ML) in radiology focusing on prostate magnetic resonance imaging (MRI) …
[HTML][HTML] Deep learning applications in magnetic resonance imaging: has the future become present?
Deep learning technologies and applications demonstrate one of the most important
upcoming developments in radiology. The impact and influence of these technologies on …
upcoming developments in radiology. The impact and influence of these technologies on …
An integrated nomogram combining deep learning, Prostate Imaging–Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of …
Summary Background Biparametric MRI (comprising T2-weighted MRI and apparent
diffusion coefficient maps) is increasingly being used to characterise prostate cancer …
diffusion coefficient maps) is increasingly being used to characterise prostate cancer …
Deep learning–accelerated T2-weighted imaging of the prostate: Reduction of acquisition time and improvement of image quality
Purpose To introduce a novel deep learning (DL) T2-weighted TSE imaging (T2 DL)
sequence in prostate MRI and investigate its impact on examination time, image quality …
sequence in prostate MRI and investigate its impact on examination time, image quality …
[HTML][HTML] Artificial intelligence based algorithms for prostate cancer classification and detection on magnetic resonance imaging: a narrative review
Due to the upfront role of magnetic resonance imaging (MRI) for prostate cancer (PCa)
diagnosis, a multitude of artificial intelligence (AI) applications have been suggested to aid …
diagnosis, a multitude of artificial intelligence (AI) applications have been suggested to aid …