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Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15895
Abstract: PURPOSE Automatic segmentation of prostate magnetic resonance (MR) images is crucial for the diagnosis, evaluation, and prognosis of prostate diseases (including prostate cancer). In recent years, the mainstream segmentation method for the prostate has been…
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Keywords:
prostate;
segmentation prostate;
feature;
segmentation ... See more keywords
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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.12.045
Abstract: Abstract In recent years, visual saliency has witnessed tremendous progress through using deep convolutional neural networks (CNNs). For effective salient object detection, contextual information has been widely employed since the global context can tell different…
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Keywords:
pyramid pooling;
salient;
multi scale;
scale pyramid ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2952432
Abstract: Action recognition is an important research direction in computer vision, which has worldwide applications, such as video surveillance, human-robot interaction and so on. Due to the influence of complex background and multi-angle changes, accurate recognition…
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Keywords:
pyramid pooling;
edge aware;
computer;
motion recognition ... See more keywords
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Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2018.2868880
Abstract: Extracting manufactured features such as buildings, roads, and water from aerial images is critical for urban planning, traffic management, and industrial development. Recently, convolutional neural networks (CNNs) have become a popular strategy to capture contextual…
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Keywords:
pyramid pooling;
objects segmentation;
pooling layers;
data sets ... See more keywords
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Published in 2019 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-019-1445-x
Abstract: This paper describes a new type of image segmentation method based on deep convolutional neural networks (DCNN) in the actual autonomous driving scene. The spatial pyramid pooling model is used to identify and segment the…
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Keywords:
pyramid pooling;
spatial pyramid;
image;
image cascade ... See more keywords
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1
Published in 2023 at "Sensors"
DOI: 10.3390/s23115114
Abstract: Aiming at the problems of low detection efficiency and poor detection accuracy caused by texture feature interference and dramatic changes in the scale of defect on steel surfaces, an improved YOLOv5s model is proposed. In…
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Keywords:
steel;
spatial pyramid;
multi path;
detection ... See more keywords