Publications by authors named "Ya-Xuan Yang"
Article Synopsis
- - Nasopharyngeal carcinoma (NPC) is a major health issue mainly in Southeast Asia and North Africa, with MRI being the best diagnostic method due to its excellent soft tissue contrast.
- - We reviewed studies on deep learning (DL) models used for NPC segmentation in MRI, focusing on 17 studies and measuring performance with Dice scores, which showed a pooled accuracy of 78%.
- - While DL models, especially convolutional neural networks, show promise for improving NPC management, notable variability and publication bias in the studies underscore the need for further research before these methods can be widely integrated into clinical practice.
Early detection increases overall survival among patients with lung cancer. This study formulated a machine learning method that processes chest X-rays (CXRs) to detect lung cancer early. After we preprocessed our dataset using monochrome and brightness correction, we used different kinds of preprocessing methods to enhance image contrast and then used U-net to perform lung segmentation.
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