Zobrazeno 1 - 10
of 250
pro vyhledávání: '"Joint loss"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 24, Iss , Pp 213-224 (2024)
The intricate task of precisely segmenting retinal vessels from images, which is critical for diagnosing various eye diseases, presents significant challenges for models due to factors such as scale variation, complex anatomical patterns, low contras
Externí odkaz:
https://doaj.org/article/24ff6196ab994c96a17a781d636d7ab0
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract By recognizing students’ facial expressions in actual classroom situations, the students’ emotional states can be quickly uncovered, which can help teachers grasp the students’ learning rate, which allows teachers to adjust their teach
Externí odkaz:
https://doaj.org/article/d060930d4167411184964fae4fed87af
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1286-1298 (2024)
Accurate water extraction from urban remote sensing images holds great significance in assisting the formulation of river and lake management policies and ensuring the sustainable development of urban water resources. However, urban high-resolution r
Externí odkaz:
https://doaj.org/article/7bc7b98d9e764cf186fb3079da6a713d
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 11, p 386 (2024)
To address the challenges that convolutional neural networks (CNNs) face in extracting small objects and handling class imbalance in remote sensing imagery, this paper proposes a novel spatial contextual information and multiscale feature fusion enco
Externí odkaz:
https://doaj.org/article/147565b4babb4d859ff83c445a056eeb
Publikováno v:
Sensors, Vol 24, Iss 17, p 5460 (2024)
Oil spill SAR images are characterized by high noise, low contrast, and irregular boundaries, which lead to the problems of overfitting and insufficient capturing of detailed features of the oil spill region in the current method when processing oil
Externí odkaz:
https://doaj.org/article/1ef3c2c821ff43bbaba015b6430fba8b
Publikováno v:
PeerJ Computer Science, Vol 9, p e1638 (2023)
Background Ultrasound image segmentation is challenging due to the low signal-to-noise ratio and poor quality of ultrasound images. With deep learning advancements, convolutional neural networks (CNNs) have been widely used for ultrasound image segme
Externí odkaz:
https://doaj.org/article/b749fe5dfdb64bc7a8307e08d046b23f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 738-749 (2023)
Remote sensing images (RSIs) are characterized by complex spatial layouts and ground object structures. ViT can be a good choice for scene classification owing to the ability to capture long-range interactive information between patches of input imag
Externí odkaz:
https://doaj.org/article/c3395a5591114894b65ef3269e96ade6
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 2, Pp 2039-2060 (2023)
With the development of deep learning, medical image segmentation has become a promising technique for computer-aided medical diagnosis. However, the supervised training of the algorithm relies on a large amount of labeled data, and the private datas
Externí odkaz:
https://doaj.org/article/55222fc7ced94ef799da3b84ba32efb8
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Akademický článek
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