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Publikováno v:
COMPUTING AND INFORMATICS; Vol. 41 No. 3 (2022): Computing and Informatics; 739–756
In the field of image processing, due to the need of expertise and skills in deep-sea biology and the disadvantages of high labor cost and long time consuming, it has always been a difficult task to mark the images of deep-sea benthic organisms. To s
Autor:
Rui, Nian, Huihui, Jiang, Jiangman, Zhao, Wanle, Hou, Hua, Zhang, Jiangtao, Ma, Pengbiao, Lv, Lisha, Jiang, Yongpan, Wang, Yue, Xu, Shouxin, Wu, Jingwei, Lou, Wanjun, Li
Publikováno v:
International Journal of Oncology. 61
Brain metastases (BM) have been closely associated with increased morbidity and poor survival outcomes in patients with non‑small cell lung cancer (NSCLC). Excluding risk factors in histological subtypes, genomic alterations, including epidermal gr
Publikováno v:
Computers in biology and medicine. 150
In the last decade, deep neural networks have been widely applied to medical image segmentation, achieving good results in computer-aided diagnosis tasks etc. However, the task of segmenting highly complex, low-contrast images of organs and tissues w
Publikováno v:
Computing & Informatics; 2023, Vol. 42 Issue 2, p411-435, 25p
Autor:
Wenyu Liu, Mingkun Yang, Yongpan Wang, Hui Zhang, Mengchao He, Hao Wang, Yongchao Xu, Pu Lu, Xiang Bai
Publikováno v:
AAAI
Recently, end-to-end text spotting that aims to detect and recognize text from cluttered images simultaneously has received particularly growing interest in computer vision. Different from the existing approaches that formulate text detection as boun
Publikováno v:
IEEE Transactions on Image Processing. 29:8760-8775
Scene text removal has attracted increasing research interests owing to its valuable applications in privacy protection, camera-based virtual reality translation, and image editing. However, existing approaches, which fall short on real applications,
Publikováno v:
2022 2nd Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS).
Publikováno v:
ACM Multimedia
Despite the success of deep neural network (DNN) on sequential data (i.e., scene text and speech) recognition, it suffers from the over-confidence problem mainly due to overfitting in training with the cross-entropy loss, which may make the decision-
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
This paper tackles the problem of table structure parsing (TSP) from images in the wild. In contrast to existing studies that mainly focus on parsing well-aligned tabular images with simple layouts from scanned PDF documents, we aim to establish a pr