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A combined learning algorithm for prostate segmentation on 3D CT images

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1 Published in 2017 at "Medical Physics"

DOI: 10.1002/mp.12528

Abstract: Purpose: Segmentation of the prostate on CT images has many applications in the diagnosis and treatment of prostate cancer. Because of the low soft‐tissue contrast on CT images, prostate segmentation is a challenging task. A… read more here.

Keywords: prostate; patient specific; segmentation; segmentation images ... See more keywords

A novel registration-based algorithm for prostate segmentation via the combination of SSM and CNN.

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2 Published in 2022 at "Medical physics"

DOI: 10.1002/mp.15698

Abstract: PURPOSE Precise determination of target is an essential procedure in prostate interventions, such as prostate biopsy, lesion detection, and targeted therapy. However, the prostate delineation may be tough in some cases due to tissue ambiguity… read more here.

Keywords: ssm; registration based; based algorithm; segmentation ... See more keywords

H-ProSeg: Hybrid ultrasound prostate segmentation based on explainability-guided mathematical model.

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1 Published in 2022 at "Computer methods and programs in biomedicine"

DOI: 10.1016/j.cmpb.2022.106752

Abstract: BACKGROUND AND OBJECTIVE Accurate and robust prostate segmentation in transrectal ultrasound (TRUS) images is of great interest for image-guided prostate interventions and prostate cancer diagnosis. However, it remains a challenging task for various reasons, including… read more here.

Keywords: segmentation; prostate segmentation; method; seed ... See more keywords

MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling

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0 Published in 2021 at "Medical image analysis"

DOI: 10.1016/j.media.2021.102039

Abstract: Fully convolutional networks (FCNs), including UNet and VNet, are widely-used network architectures for semantic segmentation in recent studies. However, conventional FCN is typically trained by the cross-entropy or Dice loss, which only calculates the error… read more here.

Keywords: voxel level; image; network; segmentation ... See more keywords

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

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1 Published in 2019 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2019.2913184

Abstract: Automatic prostate segmentation in transrectal ultrasound (TRUS) images is of essential importance for image-guided prostate interventions and treatment planning. However, developing such automatic solutions remains very challenging due to the missing/ambiguous boundary and inhomogeneous intensity… read more here.

Keywords: transrectal ultrasound; segmentation transrectal; prostate; attention ... See more keywords

MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data

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0 Published in 2020 at "IEEE Transactions on Medical Imaging"

DOI: 10.1109/tmi.2020.2974574

Abstract: Automated prostate segmentation in MRI is highly demanded for computer-assisted diagnosis. Recently, a variety of deep learning methods have achieved remarkable progress in this task, usually relying on large amounts of training data. Due to… read more here.

Keywords: site; mri; prostate segmentation; multi site ... See more keywords

Development and acceptability validation of a deep learning-based tool for whole-prostate segmentation on multiparametric MRI: a multicenter study

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1 Published in 2023 at "Quantitative Imaging in Medicine and Surgery"

DOI: 10.21037/qims-22-1068

Abstract: Background Accurate whole prostate segmentation on magnetic resonance imaging (MRI) is important in the management of prostatic diseases. In this multicenter study, we aimed to develop and evaluate a clinically applicable deep learning-based tool for… read more here.

Keywords: external testing; dwi; prostate; segmentation ... See more keywords

Semi-Automatic Prostate Segmentation From Ultrasound Images Using Machine Learning and Principal Curve Based on Interpretable Mathematical Model Expression

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1 Published in 2022 at "Frontiers in Oncology"

DOI: 10.3389/fonc.2022.878104

Abstract: Accurate prostate segmentation in transrectal ultrasound (TRUS) is a challenging problem due to the low contrast of TRUS images and the presence of imaging artifacts such as speckle and shadow regions. To address this issue,… read more here.

Keywords: principal curve; semi automatic; curve based; segmentation ... See more keywords

A Quality Control System for Automated Prostate Segmentation on T2-Weighted MRI

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1 Published in 2020 at "Diagnostics"

DOI: 10.3390/diagnostics10090714

Abstract: Computer-aided detection and diagnosis (CAD) systems have the potential to improve robustness and efficiency compared to traditional radiological reading of magnetic resonance imaging (MRI). Fully automated segmentation of the prostate is a crucial step of… read more here.

Keywords: quality; segmentation; prostate segmentation; quality control ... See more keywords