Deep learning for assessing image quality in bi-parametric prostate MRI: A feasibility study
Background Although systems such as Prostate Imaging Quality (PI-QUAL) have been
proposed for quality assessment, visual evaluations by human readers remain somewhat …
proposed for quality assessment, visual evaluations by human readers remain somewhat …
Evaluation of a Cascaded Deep Learning–based Algorithm for Prostate Lesion Detection at Biparametric MRI
Background Multiparametric MRI (mpMRI) improves prostate cancer (PCa) detection
compared with systematic biopsy, but its interpretation is prone to interreader variation …
compared with systematic biopsy, but its interpretation is prone to interreader variation …
[HTML][HTML] A review of deep learning-based information fusion techniques for multimodal medical image classification
Multimodal medical imaging plays a pivotal role in clinical diagnosis and research, as it
combines information from various imaging modalities to provide a more comprehensive …
combines information from various imaging modalities to provide a more comprehensive …
Semi-automatic multiparametric MR imaging classification using novel image input sequences and 3D convolutional neural networks
The role of multi-parametric magnetic resonance imaging (mp-MRI) is becoming
increasingly important in the diagnosis of the clinical severity of prostate cancer (PCa) …
increasingly important in the diagnosis of the clinical severity of prostate cancer (PCa) …
The low rate of adherence to checklist for artificial intelligence in medical imaging criteria among published prostate MRI artificial intelligence algorithms
Objective To determine the rigor, generalizability, and reproducibility of published
classification and detection artificial intelligence (AI) models for prostate cancer (PCa) on …
classification and detection artificial intelligence (AI) models for prostate cancer (PCa) on …
Artificial intelligence and radiomics in MRI-based prostate diagnostics
Zusammenfassung Klinisches/methodisches Problem Angesichts der diagnostischen
Komplexität und der großen Untersuchungszahlen ergibt sich die Herausforderung für die …
Komplexität und der großen Untersuchungszahlen ergibt sich die Herausforderung für die …
Protecting Prostate Cancer Classification from Rectal Artifacts via Targeted Adversarial Training
Magnetic resonance imaging (MRI)-based deep neural networks (DNN) have been widely
developed to perform prostate cancer (PCa) classification. However, in real-world clinical …
developed to perform prostate cancer (PCa) classification. However, in real-world clinical …
Catalyzing Precision Medicine: Artificial Intelligence Advancements in Prostate Cancer Diagnosis and Management
A Talyshinskii, BMZ Hameed, PP Ravinder, N Naik… - Cancers, 2024 - mdpi.com
Simple Summary In this paper, we look at the role of artificial intelligence (AI) advancements
in prostate cancer diagnosis and management. Specifically, we focus on magnetic …
in prostate cancer diagnosis and management. Specifically, we focus on magnetic …
Improving classification accuracy for prostate cancer using noise removal filter and deep learning technique
AM Ali, AA Mohammed - Multimedia Tools and Applications, 2022 - Springer
Abstract Prostate Cancer (PCa) can be considered as the second cause of death among
men all over the world. Different techniques based on deep learning have been proposed …
men all over the world. Different techniques based on deep learning have been proposed …
Cross-Modality Image Registration Using a Training-Time Privileged Third Modality
In this work, we consider the task of pairwise cross-modality image registration, which may
benefit from exploiting additional images available only at training time from an additional …
benefit from exploiting additional images available only at training time from an additional …