AIMC Topic: Prostate

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Machine learning-based comparison of transperineal vs. transrectal biopsy for prostate cancer diagnosis: evaluating procedural effectiveness.

The Canadian journal of urology Jun 27, 2025
BACKGROUND: Transrectal (TR) and transperineal (TP) biopsies are commonly used methods for diagnosing prostate cancer. However, their comparative effectiveness in conjunction with machine learning (ML) techniques remains underexplored. This study aim...
Retrospective Studies Aged Male Humans Machine Learning Prostate Rectum Biopsy Perineum Middle Aged Predictive Value of Tests Prostatic Neoplasms
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MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting.

Physics in medicine and biology Jun 16, 2025
Magnetic resonance imaging (MRI) is essential in clinical and research contexts, providing exceptional soft-tissue contrast. However, prolonged acquisition times often lead to patient discomfort and motion artifacts. Diffusion-based deep learning sup...
Signal-To-Noise Ratio Male Humans Deep Learning Prostate Brain Magnetic Resonance Imaging Image Processing, Computer-Assisted Diffusion Models, Statistical
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Deep learning for quality assessment of axial T2-weighted prostate MRI: a tool to reduce unnecessary rescanning.

European radiology experimental Apr 29, 2025
BACKGROUND: T2-weighted images are a critical component of prostate magnetic resonance imaging (MRI), and it would be useful to automatically assess image quality (IQ) on a patient-specific basis without radiologist oversight.
Prostatic Neoplasms Middle Aged Humans Aged Deep Learning Retrospective Studies Prostate Magnetic Resonance Imaging Male Image Interpretation, Computer-Assisted
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A semi-supervised prototypical network for prostate lesion segmentation from multimodality MRI.

Physics in medicine and biology Apr 22, 2025
Prostate lesion segmentation from multiparametric magnetic resonance images is particularly challenging due to the limited availability of labeled data. This scarcity of annotated images makes it difficult for supervised models to learn the complex f...
Algorithms Male Image Processing, Computer-Assisted Humans Prostate Supervised Machine Learning Magnetic Resonance Imaging Multimodal Imaging Prostatic Neoplasms
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Identification of cancerous tissues based on residual neural network.

Scientific reports Apr 17, 2025
The identification of cancerous tissues remains challenging due to the complexity of experimental methods and low identification accuracy rates. Therefore, this paper proposes a rapid identification method. We introduce a new theoretical transmission...
Lasers Rats Prostatic Neoplasms Prostate Animals Humans Male Neural Networks, Computer Algorithms Convolutional Neural Networks Image Processing, Computer-Assisted
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The Role of Artificial Intelligence in the Evaluation of Prostate Pathology.

Pathology international Apr 14, 2025
Artificial intelligence (AI) is an emerging tool in diagnostic pathology, including prostate pathology. This review summarizes the possibilities offered by AI and also discusses the challenges and risks. AI has the potential to assist in the diagnosi...
Humans Artificial Intelligence Prostate Male Prostatic Neoplasms Neoplasm Grading
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Development and validation of a framework for registration of whole-mount radical prostatectomy histopathology with three-dimensional transrectal ultrasound.

BMC urology Apr 3, 2025
PURPOSE: Artificial intelligence (AI) has the potential to improve diagnostic imaging on multiple levels. To develop and validate these AI-assisted modalities a reliable dataset is of utmost importance. The registration of imaging to pathology is an ...
Rectum Prostatectomy Aged Male Middle Aged Prostatic Neoplasms Prostate Ultrasonography Imaging, Three-Dimensional Humans Artificial Intelligence
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Clinical implications of deep learning based image analysis of whole radical prostatectomy specimens.

Scientific reports Mar 31, 2025
Prostate cancer (PCa) diagnosis faces significant challenges due to its complex pathological characteristics and insufficient pathologist resources. While deep learning-based image analysis (DLIA) shows promise in enhancing diagnostic accuracy, its a...
Prostatectomy Deep Learning Neoplasm Grading Aged Image Processing, Computer-Assisted Humans Prostate Male Prostatic Neoplasms Algorithms Tumor Burden Middle Aged Prognosis
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[Artificial intelligence-based fusion prostate biopsy].

Orvosi hetilap Mar 30, 2025
Retrospective Studies Aged Male Humans Prostate Middle Aged Artificial Intelligence Image-Guided Biopsy Magnetic Resonance Imaging Prostatic Neoplasms
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Prediction of prostate biopsy outcomes at different cut-offs of prostate-specific antigen using machine learning: a multicenter study.

Journal of the Egyptian National Cancer Institute Mar 17, 2025
BACKGROUND: Machine learning (ML) is a significant area of artificial intelligence, which can improve the accuracy of predictive or diagnostic models for differentiating between prostate biopsy outcomes. This study aims to develop a novel decision-su...
Prostate-Specific Antigen Prostate Biopsy Middle Aged Saudi Arabia Prostatic Neoplasms Algorithms Aged Male Humans Machine Learning
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