• Dual camera snapshot hyperspectral imaging system via physics informed learning

    分类: 光学 >> 量子光学 提交时间: 2023-02-19

    摘要: We consider using the system's optical imaging process with convolutional neural networks (CNNs) to solve the snapshot hyperspectral imaging reconstruction problem, which uses a dual-camera system to capture the three-dimensional hyperspectral images (HSIs) in a compressed way. Various methods using CNNs have been developed in recent years to reconstruct HSIs, but most of the supervised deep learning methods aimed to fit a brute-force mapping relationship between the captured compressed image and standard HSIs. Thus, the learned mapping would be invalid when the observation data deviate from the training data. Especially, we usually don't have ground truth in real-life scenarios. In this paper, we present a self-supervised dual-camera equipment with an untrained physics-informed CNNs framework. Extensive simulation and experimental results show that our method without training can be adapted to a wide imaging environment with good performance. Furthermore, compared with the training-based methods, our system can be constantly fine-tuned and self-improved in real-life scenarios.

  • Summary of evidence for the use of Chinese medicine nursing in symptom management of lung cancer patients

    分类: 护理学 >> 护理学 提交时间: 2024-02-22

    摘要: ObjectivesTo search and summarizethe best evidence of traditional Chinese medicine nursing in symptom management of lung cancer patients, so as to provide reference for medical staff to implement traditional Chinese medicine characteristic symptom management for lung cancer patients.BackgroundPatients with lung cancer often have treatment-related symptoms during treatment, which greatly reduces the quality of life of patients and increases the treatment cost of patients. Traditional Chinese medicine nursing technology plays a role in reducing adverse reactions, improving tumor complications and improving the quality of life.DesignAn integrative review of the study.MethodsAll evidence from guideline collaborative networks, professional association websites, and well-known domestic and international databases in the last 10 years was searched. Literature quality evaluation tools were used to evaluate the quality of the included literature, and evidence was extracted from those that met the quality requirements.The PRISMA checklist was used to evaluate the current study.ResultsA total of 34 best evidences of the use of Chinese medicine nursing in symptom management of lung cancer patients were obtained. They are from three aspects: symptom management, emotions, and diet.ConclusionThe existing evidence shows that traditional Chinese medicine nursing has certain curative effect in the symptom management of lung cancer patients. In order to promote the standardized application of traditional Chinese medicine nursing, more clinical research, systematic evaluation and other evidence are still needed in the future.Relevance to Clinical PracticeThis studysummarizes the evidence for the use of Chinese medicine nursing in symptom management of lung cancer patients and provides clinical decision-making for clinical nursing staff to carry out traditional Chinese medicine nursing in the management of lung cancer symptoms.Patient or Public Contribution/sThere are no patient or public contributions to this study.