Zobrazeno 1 - 10
of 81 492
pro vyhledávání: '"IMAGE CLASSIFICATION"'
Autor:
Ma, Yongqing, Zheng, Yifeng, Zhang, Wenjie, Wei, Baoya, Lin, Ziqiong, Liu, Weiqiang, Li, Zhehan
Publikováno v:
International Journal of Intelligent Computing and Cybernetics, 2024, Vol. 17, Issue 4, pp. 705-736.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJICC-05-2024-0202
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 1778-1791 (2025)
Extracting discriminative spectral-spatial features from hyperspectral images (HSIs) remains a crucial topic within the remote sensing community. However, most feature extraction methods suffer from coarse textures, leading to poor performance in cla
Externí odkaz:
https://doaj.org/article/37270ea018134777b71cf38dbf07841b
Autor:
Palawat Busaranuvong, Emmanuel Agu, Deepak Kumar, Shefalika Gautam, Reza Saadati Fard, Bengisu Tulu, Diane Strong
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 6, Pp 20-27 (2025)
Goal: To accurately detect infections in Diabetic Foot Ulcers (DFUs) using photographs taken at the Point of Care (POC). Achieving high performance is critical for preventing complications and amputations, as well as minimizing unnecessary emergency
Externí odkaz:
https://doaj.org/article/71657890aeb74f83994357471ee449e9
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 24, Iss , Pp 53-65 (2024)
Background and Objective: Severe courses of COVID-19 disease can lead to long-term complications. The post-acute phase of COVID-19 refers to the persistent or new symptoms. This problem is becoming more relevant with the increasing number of patients
Externí odkaz:
https://doaj.org/article/3853ebc88caf4caeb1add7cecaedadb4
Publikováno v:
IET Image Processing, Vol 18, Iss 14, Pp 4666-4679 (2024)
Abstract In recent years, face forgery detection has gained significant attention, resulting in considerable advancements. However, most existing methods rely on CNNs to extract artefacts from the spatial domain, overlooking the pervasive frequency
Externí odkaz:
https://doaj.org/article/a13b4e12ed104d2b98507885a8baaf28
Publikováno v:
IET Image Processing, Vol 18, Iss 14, Pp 4852-4861 (2024)
Abstract To enhance the accuracy of fine‐grained image classification and address challenges such as excessive interference factors within the dataset, inadequate extraction of local key features, and insufficient channel semantic association, a du
Externí odkaz:
https://doaj.org/article/aeaeb0ff14ec42078e19af4c2950d391
Publikováno v:
IET Image Processing, Vol 18, Iss 14, Pp 4887-4897 (2024)
Abstract This study investigated a data augmentation method for plant disease classification and early diagnosis based on a generative adversarial neural network (GAN). In the development of classification models using deep learning, data imbalance i
Externí odkaz:
https://doaj.org/article/e62a6469b72f4f36a2de51b6ca5b4f52
Publikováno v:
IET Image Processing, Vol 18, Iss 14, Pp 4514-4530 (2024)
Abstract Edge‐preserving denoising is important in image analysis. However, most existing methods suffer from smoothing and loss of high frequency detail at the edges. Aiming at this issue, a multi‐path residual network using edge prior informati
Externí odkaz:
https://doaj.org/article/ffb19743ff3f4171a574b502a9f87c13
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Iss 4, Pp 1879-1888 (2024)
Among all new cancer cases diagnosed, breast cancer has been leading in count, followed by prostate and lung cancer. Breast cancer also has the highest chances of getting cured, if it gets early diagnosis, thus increasing the lives of not only women
Externí odkaz:
https://doaj.org/article/47332dc8f1244549b3f9f9bb780d1e21
Autor:
Nermeen Abou Baker, Uwe Handmann
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024)
Abstract Selecting pretrained models for image classification often involves computationally intensive finetuning. This study addresses a research gap in the standardized evaluation of transferability scores, which could simplify model selection by r
Externí odkaz:
https://doaj.org/article/7d4759196d434a00a603870b022319e8