Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Cheng, Yun‐Chien"'
Autor:
Chua, Yi-Wei, Cheng, Yun-Chien
This study aims to develop an auxiliary diagnostic system for classifying abnormal lung respiratory sounds, enhancing the accuracy of automatic abnormal breath sound classification through an innovative multi-label learning approach and multi-head at
Externí odkaz:
http://arxiv.org/abs/2407.10828
This study aims to establish a computer-aided diagnosis system for endobronchial ultrasound (EBUS) surgery to assist physicians in the preliminary diagnosis of metastatic cancer. This involves arranging immediate examinations for other sites of metas
Externí odkaz:
http://arxiv.org/abs/2404.06080
This study aims to establish a computer-aided diagnostic system for lung lesions using endobronchial ultrasound (EBUS) to assist physicians in identifying lesion areas. During EBUS-transbronchial needle aspiration (EBUS-TBNA) procedures, hysicians re
Externí odkaz:
http://arxiv.org/abs/2404.01929
The purpose of this study is to develop a computer-aided diagnosis system for classifying benign and malignant lung lesions, and to assist physicians in real-time analysis of radial probe endobronchial ultrasound (EBUS) videos. During the biopsy proc
Externí odkaz:
http://arxiv.org/abs/2305.02719
Autor:
Lin, Ching-Kai a, b, c, d, Wu, Shao-Hua d, ⁎⁎, Chua, Yi-Wei d, Fan, Hung-Jen a, e, Cheng, Yun-Chien d, ⁎
Publikováno v:
In Journal of the Formosan Medical Association January 2025 124(1):28-37
The clinical symptoms of pulmonary embolism (PE) are very diverse and non-specific, which makes it difficult to diagnose. In addition, pulmonary embolism has multiple triggers and is one of the major causes of vascular death. Therefore, if it can be
Externí odkaz:
http://arxiv.org/abs/2206.01344
The purpose of this research is to develop a system that generates simulated computed tomography pulmonary angiography (CTPA) images clinically for pulmonary embolism diagnoses. Nowadays, CTPA images are the gold standard computerized detection metho
Externí odkaz:
http://arxiv.org/abs/2205.08106
This study established a feature-enhanced adversarial semi-supervised semantic segmentation model to automatically annotate pulmonary embolism lesion areas in computed tomography pulmonary angiogram (CTPA) images. In current studies, all of the PE CT
Externí odkaz:
http://arxiv.org/abs/2204.04217
This study was conducted to develop a computer-aided detection (CAD) system for triaging patients with pulmonary embolism (PE). The purpose of the system was to reduce the death rate during the waiting period. Computed tomography pulmonary angiograph
Externí odkaz:
http://arxiv.org/abs/2204.03204
The purpose of this study is to differentiate malignant and benign mediastinal lesions by using the three-dimensional convolutional neural network through the endobronchial ultrasound (EBUS) image. Compared with previous study, our proposed model is
Externí odkaz:
http://arxiv.org/abs/2107.13820