Zobrazeno 1 - 10
of 410
pro vyhledávání: '"Label smoothing"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Chest X-ray (CXR) is an extensively utilized radiological modality for supporting the diagnosis of chest diseases. However, existing research approaches suffer from limitations in effectively integrating multi-scale CXR image features and ar
Externí odkaz:
https://doaj.org/article/899522a310394411982e328238892984
Autor:
Wang, Yanmei a, b, c, Wu, Xin d, Liu, XiYao a, b, Chu, Fupeng a, b, c, Liu, Huan a, b, Han, Zhi a, b, ⁎
Publikováno v:
In Knowledge-Based Systems 30 January 2025 309
GSSCL: A framework for Graph Self-Supervised Curriculum Learning based on clustering label smoothing
Autor:
Fu, Yang-Geng a, ⁎, Chen, Xinlong a, Xu, Shuling a, Li, Jin a, b, Yao, Xi a, Huang, Ziyang a, Wang, Ying-Ming c, d
Publikováno v:
In Neural Networks January 2025 181
Autor:
Chen, Peiji a, Li, Wenyang a, Tang, Yifan a, Togo, Shunta a, b, Yokoi, Hiroshi a, b, Jiang, Yinlai a, b, ⁎
Publikováno v:
In Neural Networks March 2025 183
Autor:
Wei Zhu, Huilin Lai, Haitang Zhang, Guokai Zhang, Yongxin Luo, Jie Wang, Lu Sun, Jianwei Lu, Shuihua Wang, Yanwei Xiang
Publikováno v:
IEEE Access, Vol 12, Pp 54953-54963 (2024)
With psoriasis and eczema being the two most common diseases worldwide, achieving automatic diagnosis could be useful for healthcare cyber-physical system. However, creating such an automatic classification system is still challenging since it cannot
Externí odkaz:
https://doaj.org/article/200f7faaf64046b5b407b0427d8eaba0
Publikováno v:
IEEE Access, Vol 12, Pp 22662-22670 (2024)
With the incidence of thyroid cancer increasing dramatically, the burden of sonographic diagnosis lies heavy for radiologists. An automatic computer-aided diagnosis system with both precision and efficiency is in demand. This retrospective study incl
Externí odkaz:
https://doaj.org/article/37e82067c014493bb256ca0e51c08202
Publikováno v:
Sensors, Vol 24, Iss 20, p 6768 (2024)
This study proposed an improved full-scale aggregated MobileUNet (FA-MobileUNet) model to achieve more complete detection results of oil spill areas using synthetic aperture radar (SAR) images. The convolutional block attention module (CBAM) in the F
Externí odkaz:
https://doaj.org/article/28035c8d22e346aba18c7402cd03a223
Autor:
Leixin Yang, Yu Xiang
Publikováno v:
PeerJ Computer Science, Vol 10, p e2011 (2024)
Mixup is an effective data augmentation method that generates new augmented samples by aggregating linear combinations of different original samples. However, if there are noises or aberrant features in the original samples, mixup may propagate them
Externí odkaz:
https://doaj.org/article/cf66f2b2adfd4d5491d13ab3b90f15b2
Publikováno v:
PeerJ Computer Science, Vol 10, p e2005 (2024)
Training with soft labels instead of hard labels can effectively improve the robustness and generalization of deep learning models. Label smoothing often provides uniformly distributed soft labels during the training process, whereas it does not take
Externí odkaz:
https://doaj.org/article/97528a010f9d46e688e478352ea7a935
Publikováno v:
Dianxin kexue, Vol 39, Pp 116-128 (2023)
In recent years, emotion recognition methods based on deep learning and electroencephalogram (EEG) have achieved good results.However, existing methods still have issues such as incomplete extraction of emotional features from EEG and significant imp
Externí odkaz:
https://doaj.org/article/54131973ec2b48f7917419aa912d896d