Zobrazeno 1 - 10
of 390
pro vyhledávání: '"ouyang, Xi"'
Rapid advancements in medical image segmentation performance have been significantly driven by the development of Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs). These models follow the discriminative pixel-wise classification le
Externí odkaz:
http://arxiv.org/abs/2403.18198
Publikováno v:
Journal of Managerial Psychology, 2024, Vol. 39, Issue 8, pp. 949-963.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JMP-11-2023-0686
Accurately segmenting brain lesions in MRI scans is critical for providing patients with prognoses and neurological monitoring. However, the performance of CNN-based segmentation methods is constrained by the limited training set size. Advanced data
Externí odkaz:
http://arxiv.org/abs/2307.01220
Autor:
Wang, Sheng, Zhuang, Zixu, Ouyang, Xi, Zhang, Lichi, Li, Zheren, Ma, Chong, Liu, Tianming, Shen, Dinggang, Wang, Qian
Recent self-supervised contrastive learning methods greatly benefit from the Siamese structure that aims to minimizing distances between positive pairs. These methods usually apply random data augmentation to input images, expecting the augmented vie
Externí odkaz:
http://arxiv.org/abs/2305.08826
Autor:
Li, Zheren, Cui, Zhiming, Zhang, Lichi, Wang, Sheng, Lei, Chenjin, Ouyang, Xi, Chen, Dongdong, Zhao, Xiangyu, Gu, Yajia, Liu, Zaiyi, Liu, Chunling, Shen, Dinggang, Cheng, Jie-Zhi
The deep learning technique has been shown to be effectively addressed several image analysis tasks in the computer-aided diagnosis scheme for mammography. The training of an efficacious deep learning model requires large data with diverse styles and
Externí odkaz:
http://arxiv.org/abs/2304.10226
Large language models (LLMs) have recently demonstrated their potential in clinical applications, providing valuable medical knowledge and advice. For example, a large dialog LLM like ChatGPT has successfully passed part of the US medical licensing e
Externí odkaz:
http://arxiv.org/abs/2302.07257
Lung nodule detection in chest X-ray (CXR) images is common to early screening of lung cancers. Deep-learning-based Computer-Assisted Diagnosis (CAD) systems can support radiologists for nodule screening in CXR. However, it requires large-scale and d
Externí odkaz:
http://arxiv.org/abs/2207.09389
Publikováno v:
In Ceramics International 15 December 2024 50(24) Part A:52417-52427
Autor:
Li, Zheren, Cui, Zhiming, Zhang, Lichi, Wang, Sheng, Lei, Chenjin, Ouyang, Xi, Chen, Dongdong, Zhao, Xiangyu, Liu, Chunling, Liu, Zaiyi, Gu, Yajia, Shen, Dinggang, Cheng, Jie-Zhi
Publikováno v:
In Computers in Biology and Medicine February 2025 185
When deep neural network (DNN) was first introduced to the medical image analysis community, researchers were impressed by its performance. However, it is evident now that a large number of manually labeled data is often a must to train a properly fu
Externí odkaz:
http://arxiv.org/abs/2204.02976