Zobrazeno 1 - 10
of 562
pro vyhledávání: '"Da, Han"'
Visible-infrared person re-identification (VI-ReID) aims to retrieve images of the same persons captured by visible (VIS) and infrared (IR) cameras. Existing VI-ReID methods ignore high-order structure information of features while being relatively d
Externí odkaz:
http://arxiv.org/abs/2312.07853
Autor:
Jin Sung Park, Jin Ah Choi, Da Han Hyun, Chorok Byeon, Sang Gyu Kwak, Jun Seok Park, Seonki Hong
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract The challenges associated with liquid biopsy of colorectal cancer (CRC) are closely linked to the substantial variations observed in gene expression profiles among patients. This variability complicates the selection of an ideal biomarker fo
Externí odkaz:
https://doaj.org/article/d1c6e997af4b4e57a130c7892fb81255
Publikováno v:
Advanced Science, Vol 11, Iss 45, Pp n/a-n/a (2024)
Abstract Accurate identification and isolation of target cells are crucial for precision diagnosis and treatment. DNA aptamer‐based logic devices provide a distinct advantage in this context, as they can logically analyze multiple cell surface mark
Externí odkaz:
https://doaj.org/article/9e033749db224390a0a5730d6709fb8a
Autor:
Linlin Yang, Qian Tang, Mingzhi Zhang, Yuan Tian, Xiaoxing Chen, Rui Xu, Qian Ma, Pei Guo, Chao Zhang, Da Han
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Molecular computing is an emerging paradigm that plays an essential role in data storage, bio-computation, and clinical diagnosis with the future trends of more efficient computing scheme, higher modularity with scaled-up circuity and strong
Externí odkaz:
https://doaj.org/article/7a8beb4e9c054803beec59af9613f2d5
Autor:
Ye, Hai-Li, Wang, Da-Han
It is commonly recognized that color variations caused by differences in stains is a critical issue for histopathology image analysis. Existing methods adopt color matching, stain separation, stain transfer or the combination of them to alleviate the
Externí odkaz:
http://arxiv.org/abs/2208.04017
Autor:
Luengo, Imanol, Grammatikopoulou, Maria, Mohammadi, Rahim, Walsh, Chris, Nwoye, Chinedu Innocent, Alapatt, Deepak, Padoy, Nicolas, Ni, Zhen-Liang, Fan, Chen-Chen, Bian, Gui-Bin, Hou, Zeng-Guang, Ha, Heonjin, Wang, Jiacheng, Wang, Haojie, Guo, Dong, Wang, Lu, Wang, Guotai, Islam, Mobarakol, Giddwani, Bharat, Hongliang, Ren, Pissas, Theodoros, Ravasio, Claudio, Huber, Martin, Birch, Jeremy, Rio, Joan M. Nunez Do, da Cruz, Lyndon, Bergeles, Christos, Chen, Hongyu, Jia, Fucang, KumarTomar, Nikhil, Jha, Debesh, Riegler, Michael A., Halvorsen, Pal, Bano, Sophia, Vaghela, Uddhav, Hong, Jianyuan, Ye, Haili, Huang, Feihong, Wang, Da-Han, Stoyanov, Danail
Surgical scene segmentation is essential for anatomy and instrument localization which can be further used to assess tissue-instrument interactions during a surgical procedure. In 2017, the Challenge on Automatic Tool Annotation for cataRACT Surgery
Externí odkaz:
http://arxiv.org/abs/2110.10965
Publikováno v:
IET Computer Vision, Vol 17, Iss 8, Pp 869-882 (2023)
Abstract Siamese networks have attracted wide attention in visual tracking due to their competitive accuracy and speed. However, the existing Siamese trackers usually leverage a fixed linear aggregation of feature maps, which does not effectively fus
Externí odkaz:
https://doaj.org/article/61ea61e79e9848e299d07f356a40ac55
Publikováno v:
Cells, Vol 13, Iss 18, p 1575 (2024)
In the original publication [...]
Externí odkaz:
https://doaj.org/article/53367dde5cab43c2a5809ad071f03d52
Publikováno v:
In Pattern Recognition May 2025 161
Extreme multi-label text classification (XMTC) is a task for tagging a given text with the most relevant labels from an extremely large label set. We propose a novel deep learning method called APLC-XLNet. Our approach fine-tunes the recently release
Externí odkaz:
http://arxiv.org/abs/2007.02439