Jaeyoun Yi , Hyun Sang Park, Jong Beom Ra: Semantic object segmentation scheme for x-ray body images. Medical Imaging: Image Processing 1999.
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Dec 6, 2022 · This review introduces the modified and improved models of UNET suitable for increasing segmentation accuracy.
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Feb 17, 2024 · In this study, we propose a novel, histogram-based, image preprocessing method termed ps-KDE, aiming to assess its impact on segmentation ...
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This survey provides a comprehensive insight into DL-based medical image segmentation by covering its application domains, model exploration, analysis of state ...
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May 23, 2022 · Our method can improve the accuracy of lung segmentation of CXR images and it has a lower standard deviation and good robustness.
Jun 8, 2024 · The segmentation based on Vgg19 model outperforms Vgg16 model in cropping Chest x-ray images dataset automatically and quickly. View full ...
Mar 12, 2024 · Given a user prompt, including points, bounding boxes, or text, SAM predicts a segmentation mask for semantically meaningful objects.
The objective of this thesis is to design a 2D radiograph simulation method that can provide realistic projections, enabling the efficient creation of training ...
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Nov 22, 2021 · In this study, the method of semantic segmenting images is split into two sections: the method of the deep neural network and previous traditional method.
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