Zobrazeno 1 - 10
of 593
pro vyhledávání: '"atrous convolution"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Breast cancer (BC) significantly contributes to cancer-related mortality in women, underscoring the criticality of early detection for optimal patient outcomes. Mammography is a key tool for identifying and diagnosing breast abnormalities; h
Externí odkaz:
https://doaj.org/article/3e4acbc1dc4e4f3da10f55051a90cbfe
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The second most common type of malignant tumor worldwide is colorectal cancer. Histopathology image analysis offers crucial data for the clinical diagnosis of colorectal cancer. Currently, deep learning techniques are applied to enhance canc
Externí odkaz:
https://doaj.org/article/3f21e671331449e3b14f8ddc859274da
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Medical image segmentation has made a significant contribution towards delivering affordable healthcare by facilitating the automatic identification of anatomical structures and other regions of interest. Although convolution neural networks
Externí odkaz:
https://doaj.org/article/756d05bdcb7045e99c75b218bebc0c68
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 7, Pp 102123- (2024)
Learning multi-scale feature representations is essential for medical image segmentation. Most existing frameworks are based on U-shape architecture in which the high-resolution representation is recovered progressively by connecting different levels
Externí odkaz:
https://doaj.org/article/01157ceb224b4b5eb99ac98597a3791a
Publikováno v:
Tongxin xuebao, Vol 45, Pp 68-78 (2024)
Aiming at the problem of low detection accuracy or missing detection caused by dense vehicles and small scale of distant vehicles in the visual detection of urban road scenes, an improved YOLOv3-SPP algorithm was proposed to optimize the activation f
Externí odkaz:
https://doaj.org/article/bb744172dbed4568824ed5db92feff49
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 3, Pp 4351-4369 (2024)
Biomedical images have complex tissue structures, and there are great differences between images of the same part of different individuals. Although deep learning methods have made some progress in automatic segmentation of biomedical images, the seg
Externí odkaz:
https://doaj.org/article/4a560be566a749488c01a284a3f4b986
Publikováno v:
IEEE Access, Vol 12, Pp 126446-126459 (2024)
Detection of small objects with undefined shapes, such as color-stained one or a group of virus-infected cells, i.e. foci, in microscopy images, is challenging due to their size and scale variation. Quantifying the foci numbers manually using light m
Externí odkaz:
https://doaj.org/article/db88bf4cb1704e6c8a4b69640acdd4aa
Autor:
Mianqing He, Tze Liang Lau
Publikováno v:
IEEE Access, Vol 12, Pp 12655-12666 (2024)
The maintenance of pavements takes considerable time and poses a significant task, especially when it comes to detecting cracks at the pixel level. Due to the complexity of pavement conditions, such as road markings, shadows, and oil stains, deep lea
Externí odkaz:
https://doaj.org/article/f0eea32b3c2446d08d463df78520c09d
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:
Sensors, Vol 24, Iss 20, p 6672 (2024)
High-resolution remote sensing imagery, reaching meter or sub-meter levels, provides essential data for extracting and identifying road information. However, rural roads are often narrow, elongated, and have blurred boundaries, with textures that res
Externí odkaz:
https://doaj.org/article/2702a88e5f1f4db4a016b351f6c85b9e