Zobrazeno 1 - 10
of 118
pro vyhledávání: '"He, Weijie"'
This paper delves into the challenges and advancements in the field of medical image segmentation, particularly focusing on breast cancer diagnosis. The authors propose a novel Transformer-based segmentation model that addresses the limitations of tr
Externí odkaz:
http://arxiv.org/abs/2409.12347
Single-frame infrared small target (SIRST) detection poses a significant challenge due to the requirement to discern minute targets amidst complex infrared background clutter. Recently, deep learning approaches have shown promising results in this do
Externí odkaz:
http://arxiv.org/abs/2409.04011
In this paper, an innovative multi-modal deep learning model is proposed to deeply integrate heterogeneous information from medical images and clinical reports. First, for medical images, convolutional neural networks were used to extract high-dimens
Externí odkaz:
http://arxiv.org/abs/2405.17459
Prompt learning is a powerful technique for transferring Vision-Language Models (VLMs) such as CLIP to downstream tasks. However, the prompt-based methods that are fine-tuned solely with base classes may struggle to generalize to novel classes in ope
Externí odkaz:
http://arxiv.org/abs/2312.03805
Face attribute evaluation plays an important role in video surveillance and face analysis. Although methods based on convolution neural networks have made great progress, they inevitably only deal with one local neighborhood with convolutions at a ti
Externí odkaz:
http://arxiv.org/abs/2207.05456
Autor:
He, Weijie, Chen, Ting
For those seeking healthcare advice online, AI based dialogue agents capable of interacting with patients to perform automatic disease diagnosis are a viable option. This application necessitates efficient inquiry of relevant disease symptoms in orde
Externí odkaz:
http://arxiv.org/abs/2206.03659
Publikováno v:
In Heliyon 30 July 2024 10(14)
Autor:
Feng, Zhongnan, He, Zhiheng, Lin, Xiangning, He, Weijie, Guo, Lanxuan, Zhang, Zichen, Wei, Fanrong, Li, Zhengtian, Dawoud, Samir M., Khalid, Muhammad Shoaib
Publikováno v:
In Energy Reports June 2024 11:5654-5667
Publikováno v:
In Sustainable Production and Consumption March 2024 45:67-78
A growing number of people are seeking healthcare advice online. Usually, they diagnose their medical conditions based on the symptoms they are experiencing, which is also known as self-diagnosis. From the machine learning perspective, online disease
Externí odkaz:
http://arxiv.org/abs/2012.01065