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pro vyhledávání: '"Chen, Yu-Jen"'
Autor:
Kong, Qingpeng, Chiu, Ching-Hao, Zeng, Dewen, Chen, Yu-Jen, Ho, Tsung-Yi, hu, Jingtong, Shi, Yiyu
Numerous studies have revealed that deep learning-based medical image classification models may exhibit bias towards specific demographic attributes, such as race, gender, and age. Existing bias mitigation methods often achieve high level of fairness
Externí odkaz:
http://arxiv.org/abs/2405.08681
Fairness has become increasingly pivotal in machine learning for high-risk applications such as machine learning in healthcare and facial recognition. However, we see the deficiency in the previous logits space constraint methods. Therefore, we propo
Externí odkaz:
http://arxiv.org/abs/2402.13061
In medical image diagnosis, fairness has become increasingly crucial. Without bias mitigation, deploying unfair AI would harm the interests of the underprivileged population and potentially tear society apart. Recent research addresses prediction bia
Externí odkaz:
http://arxiv.org/abs/2401.08066
Fairness has become increasingly pivotal in medical image recognition. However, without mitigating bias, deploying unfair medical AI systems could harm the interests of underprivileged populations. In this paper, we observe that while features extrac
Externí odkaz:
http://arxiv.org/abs/2306.14518
Magnetic resonance imaging (MRI) is commonly used for brain tumor segmentation, which is critical for patient evaluation and treatment planning. To reduce the labor and expertise required for labeling, weakly-supervised semantic segmentation (WSSS) m
Externí odkaz:
http://arxiv.org/abs/2306.14505
Magnetic resonance imaging (MRI) is a commonly used technique for brain tumor segmentation, which is critical for evaluating patients and planning treatment. To make the labeling process less laborious and dependent on expertise, weakly-supervised se
Externí odkaz:
http://arxiv.org/abs/2306.05476
Recent advances in denoising diffusion probabilistic models have shown great success in image synthesis tasks. While there are already works exploring the potential of this powerful tool in image semantic segmentation, its application in weakly super
Externí odkaz:
http://arxiv.org/abs/2306.03878
Fairness has become increasingly pivotal in facial recognition. Without bias mitigation, deploying unfair AI would harm the interest of the underprivileged population. In this paper, we observe that though the higher accuracy that features from the d
Externí odkaz:
http://arxiv.org/abs/2301.02989
Autor:
Chen, Yu-Jen, Shen, Wei-Hsiang, Chung, Hao-Wei, Chiu, Ching-Hao, Juan, Da-Cheng, Ho, Tsung-Ying, Cheng, Chi-Tung, Li, Meng-Lin, Ho, Tsung-Yi
Medical report generation is a challenging task since it is time-consuming and requires expertise from experienced radiologists. The goal of medical report generation is to accurately capture and describe the image findings. Previous works pretrain t
Externí odkaz:
http://arxiv.org/abs/2209.01604
Autor:
Wang, Hsueh-Hsiao, Huang, Chi-Ruei, Lin, Hsin-Chung, Lin, Hsin-An, Chen, Yu-Jen, Tsai, Kuen-Jou, Shih, Chieh-Tien, Huang, Kuo-Yang, Ojcius, David M., Tsai, Ming-Hang, Tseng, Kuang-Wen, Chen, Lih-Chyang
Publikováno v:
In Heliyon 15 August 2024 10(15)