Zobrazeno 1 - 10
of 886
pro vyhledávání: '"skip-connection"'
Publikováno v:
Alexandria Engineering Journal, Vol 109, Iss , Pp 1-10 (2024)
Cliffside carving images are often affected by various types of noise, such as uneven lighting, shadows, dust, and weathering, which impair the clarity and detail of the images. These noise factors significantly impact image quality, making effective
Externí odkaz:
https://doaj.org/article/a21508157ab7472dbacedb4f4b17879b
Autor:
Gunjan Shandilya, Sheifali Gupta, Ahmad Almogren, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Cervical cancer is one of the biggest challenges in global health, thus it forms a critical need for early detection technologies that could improve patient prognosis and inform treatment decisions. This development in the form of an early d
Externí odkaz:
https://doaj.org/article/c18e4551514c43418a36d1d8151e6c27
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The segmentation accuracy of the lung images is affected by the occlusion of the front background objects. To address this problem, we propose a full-scale lung image segmentation algorithm based on hybrid skip connection and attention mecha
Externí odkaz:
https://doaj.org/article/c6d9dfc25891400fa38741e1ab007e1b
Publikováno v:
Frontiers in Built Environment, Vol 10 (2024)
The monitoring of concrete structures has advanced remarkably with the aid of deep learning technologies. Since concrete is multi-purpose and low-cost, it is extensively used for construction purposes. Concrete is very enduring. Nevertheless, it tend
Externí odkaz:
https://doaj.org/article/b94cdc16cdbd49b3b50f5871425b607b
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e34738- (2024)
In the acquisition of weld seam images, the presence of light and impurity interference often leads to weak edge problems in weld seam images, making the identification of weld seam defects challenging. In such scenarios, segmentation processing must
Externí odkaz:
https://doaj.org/article/9c88ee77a028400894f4e3f99f8f84df
Publikováno v:
IEEE Access, Vol 12, Pp 157346-157358 (2024)
Using 2D scans or simple 3D convolutions are two limitations of previous works on segmentation of brain tumors by deep learning, which lead to ignoring the temporal distribution of the scans. This study proposes a novel extension to the well-known U-
Externí odkaz:
https://doaj.org/article/4b084cc06f08450a8b24ee7f3748ea2f
Autor:
Xiaoshan Xie, Min Yang
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 3782-3793 (2024)
Medical image segmentation is a crucial component of computer-aided clinical diagnosis, with state-of-the-art models often being variants of U-Net. Despite their success, these models’ skip connections introduce an unnecessary semantic gap between
Externí odkaz:
https://doaj.org/article/9148946f0dda44888f82aa0a754da99b
Autor:
Susant Kumar Panigrahi, Santosh Kumar Tripathy, Anirban Bhowmick, Santosh Kumar Satapathy, Paolo Barsocchi, Akash Kumar Bhoi
Publikováno v:
IEEE Access, Vol 12, Pp 25090-25105 (2024)
Na $\ddot {i}$ ve simulated additive white Gaussian noise (AWGN) may not fully characterize the complexity of real world noisy images. Owing to optimal sparsity in image representation, we propose a curvelet based model for denoising real-world RGB i
Externí odkaz:
https://doaj.org/article/45b91d35bb9b4077b5a9f62f1a51cc89
Publikováno v:
IEEE Access, Vol 12, Pp 24700-24713 (2024)
There has been a surge in research focused on the analysis of vital signs using remote photoplethysmography (rPPG) sensors, as opposed to traditional photoplethysmography (PPG) methods. Unlike PPG, rPPG imposes no spatial constraints and employs a st
Externí odkaz:
https://doaj.org/article/e8457906685b447ab1bd27f9bd0c1617
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3266 (2024)
Building segmentation has extensive research value and application prospects in high-resolution remote sensing image (HRSI) processing. However, complex architectural contexts, varied building morphologies, and non-building occlusions make building s
Externí odkaz:
https://doaj.org/article/10c96927908b4b279349c1cb054b9c07