Zobrazeno 1 - 10
of 233
pro vyhledávání: '"Frank Y. Shih"'
Publikováno v:
2022 International Conference on Machine Learning and Cybernetics (ICMLC).
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 36
Mathematical morphology intends to extract object features such as geometric and topological structures in digital images. Given a set of target images and original images, it is cumbersome and time-consuming to determine the suitable morphological o
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 36
Adversarial attacks can fool convolutional networks and make the systems vulnerable to fraud and deception. How to defend against malicious attacks is a critical challenge in practice. Adversarial attacks are often conducted by adding tiny perturbati
Publikováno v:
IEEE Transactions on Multimedia. 23:1951-1961
Digital image watermarking is the process of embedding and extracting a watermark covertly on a cover-image. To dynamically adapt image watermarking algorithms, deep learning-based image watermarking schemes have attracted increased attention during
Autor:
Chun-Ming Tsai, Frank Y. Shih
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 36
The automatic detection and recognition for motorcycle license plates present a very challenging task since they appear more compact and versatile than vehicle license plates. In this paper, we present an efficient detection and recognition system fo
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 35
Remote sensing techniques have been developed over the past decades to acquire data without being in contact of the target object or data source. Their application on land-cover image segmentation has attracted significant attention during recent yea
Publikováno v:
BIBM
Adversarial attacks in medical AI imaging systems can lead to misdiagnosis and insurance fraud as recently highlighted by Finlayson et. al. in Science 2019. They can also be carried out on widely used ECG time-series data as shown in Han et. al. in N
Publikováno v:
2020 7th International Conference on Bioinformatics Research and Applications.
The classification of whole slide images plays an important role in understanding and diagnosing cancer. Pathologists typically have to work through numerous pathology images that can be in the order of hundreds or thousands which takes time and is p
Autor:
Yanan Yang, Usman Roshan, William W. Graves, Frank Y. Shih, Yunzhe Xue, Fadi G. Farhat, Jeffrey R. Binder, Anna M. Barrett, Olga Boukrina
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783030466428
BrainLes@MICCAI (2)
BrainLes@MICCAI (2)
Brain tumor classification plays an important role in brain cancer diagnosis and treatment. Pathologists typically have to work through numerous pathology images that can be in the order of hundreds or thousands which takes time and is prone to manua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a1a3f6f8f3aa710da15ce78cf48b658
https://doi.org/10.1007/978-3-030-46643-5_36
https://doi.org/10.1007/978-3-030-46643-5_36
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 35:2101002