Zobrazeno 1 - 10
of 881
pro vyhledávání: '"multi-instance learning"'
Autor:
Wei Song, Zijiang Yang
Publikováno v:
AI, Vol 5, Iss 3, Pp 1709-1730 (2024)
Background: Distantly supervised relation extraction (DSRE) aims to identify semantic relations in large-scale texts automatically labeled via knowledge base alignment. It has garnered significant attention due to its high efficiency, but existing me
Externí odkaz:
https://doaj.org/article/c8e67e27db584941b1eeb0f189480a0c
Autor:
Shyamapada Mandal, Keerthiveena Balraj, Hariprasad Kodamana, Chetan Arora, Julie M. Clark, David S. Kwon, Anurag S. Rathore
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
IntroductionEarly detection of pancreatic cancer continues to be a challenge due to the difficulty in accurately identifying specific signs or symptoms that might correlate with the onset of pancreatic cancer. Unlike breast or colon or prostate cance
Externí odkaz:
https://doaj.org/article/fc55fb5b54e74e5e92fc2bd8e8119d2a
Autor:
Yanfang Guan, Zhengfa Xue, Jiayin Wang, Xinghao Ai, Rongrong Chen, Xin Yi, Shun Lu, Yuqian Liu
Publikováno v:
Frontiers in Genetics, Vol 15 (2024)
Patients with the target gene mutation frequently derive significant clinical benefits from target therapy. However, differences in the abundance level of mutations among patients resulted in varying survival benefits, even among patients with the sa
Externí odkaz:
https://doaj.org/article/19cf8680cabd4ecda6c4e555e4a10433
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Small-field-of-view reconstruction CT images (sFOV-CT) increase the pixel density across airway structures and reduce partial volume effects. Multi-instance learning (MIL) is proposed as a weakly supervised machine learning method, which can
Externí odkaz:
https://doaj.org/article/88ae4132b13445728475409884f2a023
Publikováno v:
Sensors, Vol 24, Iss 19, p 6176 (2024)
Audio-based classification techniques for body sounds have long been studied to aid in the diagnosis of respiratory diseases. While most research is centered on the use of coughs as the main acoustic biomarker, other body sounds also have the potenti
Externí odkaz:
https://doaj.org/article/70fbc1d4dfa04866ad67289ea914210f
Autor:
Heming Yao, PhD, Zhichao Wu, BAppSc(Optom), PhD, Simon S. Gao, PhD, Robyn H. Guymer, MBBS, PhD, Verena Steffen, MSc, Hao Chen, PhD, Mohsen Hejrati, PhD, Miao Zhang, PhD
Publikováno v:
Ophthalmology Science, Vol 4, Iss 3, Pp 100428- (2024)
Purpose: Nascent geographic atrophy (nGA) refers to specific features seen on OCT B-scans, which are strongly associated with the future development of geographic atrophy (GA). This study sought to develop a deep learning model to screen OCT B-scans
Externí odkaz:
https://doaj.org/article/2923b293db234d3684c1e211097b8e74
Autor:
Ka Ho Tam, Maria F. Soares, Jesper Kers, Edward J. Sharples, Rutger J. Ploeg, Maria Kaisar, Jens Rittscher
Publikováno v:
Frontiers in Transplantation, Vol 3 (2024)
Two common obstacles limiting the performance of data-driven algorithms in digital histopathology classification tasks are the lack of expert annotations and the narrow diversity of datasets. Multi-instance learning (MIL) can address the former chall
Externí odkaz:
https://doaj.org/article/74e5aa5558d74e47a75f886017bc349d
Autor:
Xinyang Qian, Guang Yang, Fan Li, Xuanping Zhang, Xiaoyan Zhu, Xin Lai, Xiao Xiao, Tao Wang, Jiayin Wang
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
IntroductionT cell receptor (TCR) repertoires provide valuable insights into complex human diseases, including cancers. Recent advancements in immune sequencing technology have significantly improved our understanding of TCR repertoire. Some computat
Externí odkaz:
https://doaj.org/article/9b9dfc0cd9dc467d9ac3372bac28a72e
Autor:
Huang Yuqing, Nie Jialin
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The rapid development of e-commerce is accompanied by the problem of a large number of abnormal transactions, and the development of artificial intelligence models has brought the possibility of large-scale real-time monitoring of transaction anomali
Externí odkaz:
https://doaj.org/article/73f59b41ffe148188b9a013d385a9c56
Autor:
Kian Yu Gan, Yu Tong Cheng, Hung-Khoon Tan, Hui-Fuang Ng, Maylor Karhang Leung, Joon Huang Chuah
Publikováno v:
IEEE Access, Vol 11, Pp 36658-36671 (2023)
Video anomaly detection aims to identify anomalous segments in a video. It is typically trained with weakly supervised video-level labels. This paper focuses on two crucial factors affecting the performance of video anomaly detection models. First, w
Externí odkaz:
https://doaj.org/article/c7c08f74d9634a95bc37053ad14fd4bd