Articles with "delineation" as a keyword



Rare Earth Nanoprobes for Targeted Delineation of Triple Negative Breast Cancer and Enhancement of Radioimmunotherapy

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Published in 2024 at "Advanced Science"

DOI: 10.1002/advs.202309992

Abstract: Radiotherapy demonstrates a synergistic effect with immunotherapy by inducing a transformation of “immune cold” tumors into “immune hot” tumors in triple negative breast cancer (TNBC). Nevertheless, the effectiveness of immunotherapy is constrained by low expression… read more here.

Keywords: breast cancer; breast; delineation; negative breast ... See more keywords

Magnetic resonance imaging organ at risk delineation for nasopharyngeal radiotherapy: Measuring the effectiveness of an educational intervention

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Published in 2023 at "Journal of Medical Radiation Sciences"

DOI: 10.1002/jmrs.651

Abstract: Magnetic resonance imaging (MRI) demonstrates superior soft tissue contrast and is increasingly being used in radiotherapy planning. This study evaluated the impact of an education workshop in minimising inter‐observer variation (IOV) for nasopharyngeal organs at… read more here.

Keywords: magnetic resonance; imaging organ; resonance imaging; radiotherapy ... See more keywords

Water‐based acrylic marker for reflectance confocal microscopy lesion delineation

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Published in 2022 at "Lasers in Surgery and Medicine"

DOI: 10.1002/lsm.23574

Abstract: Dear Editor, Reflectance confocal microscopy (RCM) is a noninvasive diagnostic tool with near‐histologic resolution and high diagnostic accuracy. Most lesions are easily evaluated with a wide‐probe RCM; however, assessment of large lesions, scars, ill‐shaped lesions,… read more here.

Keywords: rcm; microscopy; reflectance confocal; delineation ... See more keywords

Prostate lesion delineation from multiparametric magnetic resonance imaging based on locality alignment discriminant analysis

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Published in 2018 at "Medical Physics"

DOI: 10.1002/mp.13155

Abstract: PURPOSE Multiparametric MRI (mpMRI) has shown promise in the detection and localization of prostate cancer foci. Although techniques have been previously introduced to delineate lesions from mpMRI, these techniques were evaluated in datasets with T2… read more here.

Keywords: discriminant analysis; prostate; delineation; lesion delineation ... See more keywords
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SOMA: Subject-, Object-, and Modality-Adapted Precision Atlas Approach for Automatic Anatomy Recognition and Delineation in Medical Images.

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Published in 2021 at "Medical physics"

DOI: 10.1002/mp.15308

Abstract: PURPOSE In the multi-atlas segmentation (MAS) method, a large enough atlas set which can cover the complete spectrum of the whole population pattern of the target object will benefit the segmentation quality. However, the difficulty… read more here.

Keywords: image; delineation; refined recognition; anatomy ... See more keywords

Evaluating the Interpretation Uncertainty From the Manual Streambank Delineation

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Published in 2025 at "River Research and Applications"

DOI: 10.1002/rra.70072

Abstract: Streambank delineation enables the development of two important parameters: streambank position and channel width. For older aerial images that cannot be easily processed by automatic methods, manual interpretation of streambanks is a necessary task. In… read more here.

Keywords: delineation; channel width; uncertainty; interpretation uncertainty ... See more keywords

Clinical outcome of the delineation-without-negative-biopsy strategy in magnifying image-enhanced endoscopy for identifying the extent of differentiated-type early gastric cancer

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Published in 2022 at "Surgical Endoscopy"

DOI: 10.1007/s00464-022-09053-9

Abstract: The histologic evaluation of biopsy samples collected from the surrounding mucosa has conventionally been used to determine the horizontal extent of early gastric cancer. Recently, optical delineation using magnifying image-enhanced endoscopy (IEE) has been considered… read more here.

Keywords: without negative; cancer; early gastric; delineation ... See more keywords

Geostatistical and fuzzy clustering approach for delineation of site-specific management zones and yield-limiting factors in irrigated hot arid environment of India

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Published in 2019 at "Precision Agriculture"

DOI: 10.1007/s11119-019-09671-9

Abstract: Delineation of management zones (MZs) are needed to manage fields in order to maximize economic return, minimize environmental impact, and improve soil and crop management. The MZs of uniform production potential may offer an effective… read more here.

Keywords: management zones; delineation; management; soil ... See more keywords
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Convolutional neural network in nasopharyngeal carcinoma: how good is automatic delineation for primary tumor on a non-contrast-enhanced fat-suppressed T2-weighted MRI?

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Published in 2021 at "Japanese Journal of Radiology"

DOI: 10.1007/s11604-021-01092-x

Abstract: Convolutional neural networks (CNNs) show potential for delineating cancers on contrast-enhanced MRI (ce-MRI) but there are clinical scenarios in which administration of contrast is not desirable. We investigated performance of the CNN for delineating primary… read more here.

Keywords: tumor; delineation; contrast; non contrast ... See more keywords

Classification of early stage non-small cell lung cancers on computed tomographic images into histological types using radiomic features: interobserver delineation variability analysis

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Published in 2017 at "Radiological Physics and Technology"

DOI: 10.1007/s12194-017-0433-2

Abstract: Radiomics, which involves the extraction of large numbers of quantitative features from medical images, has attracted attention in cancer research. In radiomics analysis, tumor segmentation is a crucial step. In this study, we evaluated the… read more here.

Keywords: radiomic features; delineation; analysis; variability ... See more keywords

Error in digital network and basin area delineation using d8 method: A case study in a sub-basin of the Ganga

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Published in 2017 at "Journal of the Geological Society of India"

DOI: 10.1007/s12594-017-0559-1

Abstract: Digital elevation model (DEM) is one of the input data derived from different satellite sensors for hydrologic and hydraulic modelings. Two prime questions could be answered before using these DEMs. First, the acceptability of datasets… read more here.

Keywords: network basin; delineation; error; area ... See more keywords