From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment
Machine learning (ML) is increasingly used in clinical oncology to diagnose cancers, predict
patient outcomes, and inform treatment planning. Here, we review recent applications of ML …
patient outcomes, and inform treatment planning. Here, we review recent applications of ML …
[HTML][HTML] A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta …
Background Deep learning offers considerable promise for medical diagnostics. We aimed
to evaluate the diagnostic accuracy of deep learning algorithms versus health-care …
to evaluate the diagnostic accuracy of deep learning algorithms versus health-care …
[HTML][HTML] Evaluation of artificial intelligence techniques in disease diagnosis and prediction
N Ghaffar Nia, E Kaplanoglu, A Nasab - Discover Artificial Intelligence, 2023 - Springer
A broad range of medical diagnoses is based on analyzing disease images obtained
through high-tech digital devices. The application of artificial intelligence (AI) in the …
through high-tech digital devices. The application of artificial intelligence (AI) in the …
[HTML][HTML] End-to-end prostate cancer detection in bpMRI via 3D CNNs: effects of attention mechanisms, clinical priori and decoupled false positive reduction
We present a multi-stage 3D computer-aided detection and diagnosis (CAD) model 1 for
automated localization of clinically significant prostate cancer (csPCa) in bi-parametric MR …
automated localization of clinically significant prostate cancer (csPCa) in bi-parametric MR …
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 …
[HTML][HTML] Machine learning in nutrition research
Data currently generated in the field of nutrition are becoming increasingly complex and
high-dimensional, bringing with them new methods of data analysis. The characteristics of …
high-dimensional, bringing with them new methods of data analysis. The characteristics of …
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 …
[HTML][HTML] Deep learning–assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledge
M Hosseinzadeh, A Saha, P Brand, I Slootweg… - European …, 2022 - Springer
Abstract Objectives To assess Prostate Imaging Reporting and Data System (PI-RADS)–
trained deep learning (DL) algorithm performance and to investigate the effect of data size …
trained deep learning (DL) algorithm performance and to investigate the effect of data size …
[HTML][HTML] Artificial intelligence for prostate MRI: open datasets, available applications, and grand challenges
Artificial intelligence (AI) for prostate magnetic resonance imaging (MRI) is starting to play a
clinical role for prostate cancer (PCa) patients. AI-assisted reading is feasible, allowing …
clinical role for prostate cancer (PCa) patients. AI-assisted reading is feasible, allowing …
[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 …