Zobrazeno 1 - 10
of 661
pro vyhledávání: '"Sung-Jea Ko"'
Autor:
Zhixin Xu, Seohoon Lim, Hong-Kyu Shin, Kwang-Hyun Uhm, Yucheng Lu, Seung-Won Jung, Sung-Jea Ko
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Deep-learning-based survival prediction can assist doctors by providing additional information for diagnosis by estimating the risk or time of death. The former focuses on ranking deaths among patients based on the Cox model, whereas the lat
Externí odkaz:
https://doaj.org/article/2428be93cffe4739ac978f40ccbd9b05
Publikováno v:
IEEE Access, Vol 10, Pp 79491-79501 (2022)
Images captured from real-world environments often include blur artifacts resulting from camera movement, dynamic object motion, or out-of-focus. Although such blur artifacts are inevitable, most object detection methods do not have special considera
Externí odkaz:
https://doaj.org/article/ed574237c51d48d7a6f08d512796b486
Publikováno v:
IEEE Access, Vol 10, Pp 93960-93970 (2022)
Pathology image classification is an important step in cancer diagnosis and precision treatment. Training a pathology image classification model in a fully supervised manner requires exhaustive pixel-level manual annotations from pathologists, which
Externí odkaz:
https://doaj.org/article/24ba0107c83544bba61ec2e7065d6448
Autor:
Kwang-Hyun Uhm, Seung-Won Jung, Moon Hyung Choi, Hong-Kyu Shin, Jae-Ik Yoo, Se Won Oh, Jee Young Kim, Hyun Gi Kim, Young Joon Lee, Seo Yeon Youn, Sung-Hoo Hong, Sung-Jea Ko
Publikováno v:
npj Precision Oncology, Vol 5, Iss 1, Pp 1-6 (2021)
Abstract In 2020, it is estimated that 73,750 kidney cancer cases were diagnosed, and 14,830 people died from cancer in the United States. Preoperative multi-phase abdominal computed tomography (CT) is often used for detecting lesions and classifying
Externí odkaz:
https://doaj.org/article/b233852307e7463aa595188f0f21eff1
Publikováno v:
IEEE Access, Vol 9, Pp 66176-66187 (2021)
Lossy video compression achieves coding gains at the expense of the quality loss of the decoded images. Owing to the success of deep learning techniques, especially convolutional neural networks (CNNs), many compression artifacts reduction (CAR) tech
Externí odkaz:
https://doaj.org/article/81716f1ba2504cef8c44e8614bd22816
Publikováno v:
IEEE Access, Vol 9, Pp 66626-66635 (2021)
Depth maps acquired by low-cost sensors have low spatial resolution, which restricts their usefulness in many image processing and computer vision tasks. To increase the spatial resolution of the depth map, most state-of-the-art depth map super-resol
Externí odkaz:
https://doaj.org/article/5aee57502983453facbe86c00ce491c1
Publikováno v:
IEEE Access, Vol 9, Pp 135256-135265 (2021)
X-ray baggage inspection has been widely used for maintaining airport and transportation security. Towards automated inspection, recent deep learning-based methods have attempted to detect hazardous objects directly from X-ray images. Since it is cha
Externí odkaz:
https://doaj.org/article/75acd3ce38d64cf392da9c4c4b87d193
Publikováno v:
IEEE Access, Vol 9, Pp 137824-137832 (2021)
Several recent studies have attempted to fully replace the conventional camera image signal processing (ISP) pipeline with convolutional neural networks (CNNs). However, the previous CNN-based ISPs, simply referred to as ISP-Nets, have not explicitly
Externí odkaz:
https://doaj.org/article/5e661c70470744aaa96ab4d3d7c8cd22
Publikováno v:
IEEE Access, Vol 8, Pp 116501-116514 (2020)
The census transform is a non-parametric local transform that is widely used in stereo matching. This transform encodes the structural information of a local patch into a binary code stream representing the relative intensity ordering of the pixels w
Externí odkaz:
https://doaj.org/article/7d6f53320d6e494785c88d9e3301b380
Publikováno v:
IEEE Access, Vol 8, Pp 114010-114019 (2020)
3D hand pose estimation from a single depth image plays an important role in computer vision and human-computer interaction. Although recent hand pose estimation methods using convolution neural network (CNN) have shown notable improvements in accura
Externí odkaz:
https://doaj.org/article/f62bf3f3d35344c7ae0055750a4f3490