Results 51 to 60 of about 900,764 (306)
Automatic detect lung node with deep learning in segmentation and imbalance data labeling
In this study, a novel method with the U-Net-based network architecture, 2D U-Net, is employed to segment the position of lung nodules, which are an early symptom of lung cancer and have a high probability of becoming a carcinoma, especially when a lung ...
Ting-Wei Chiu, Yu-Lin Tsai, Shun-Feng Su
doaj +1 more source
Lung cancer has been listed as one of the world’s leading causes of death. Early diagnosis of lung nodules has great significance for the prevention of lung cancer. Despite major improvements in modern diagnosis and treatment, the five-year survival rate
Wang, Jiawen +5 more
core +1 more source
The Lupus Damage Index Revision Program: Results From the Item Generation and Reduction Phases
Objective A data‐driven and expert/patient consensus‐based project to develop a revised Systemic Lupus International Collaborating Clinics (SLICC)/American College of Rheumatology (ACR) Damage Index (SDI) is under way supported by SLICC, ACR, and the Lupus Foundation of America. Our objective is to report the item generation and reduction phase results
Burak Kundakci +25 more
wiley +1 more source
A 67-year-old patient has been followed by our pulmonary clinic for Chronic obstructive pulmonary disease (COPD) and a stable pulmonary nodule. Solitary pulmonary nodule (SPN) was detected on the lung cancer screening by low dose computed tomography (CT)
Anum Aqsa +3 more
doaj +1 more source
IntroductionTo explore the correlation between clinical and imaging features of malignant lung nodules and pathology types.MethodsPatients with lung nodules admitted to the Affiliated Hospital of Jiangsu University from January 1, 2020 to December 31 ...
Liwen Zhang +4 more
doaj +1 more source
Biomedical research involving United States Veterans continues to advance healthcare beyond the Veterans Health Administration. This is particularly true in rheumatoid arthritis (RA), where Veteran‐centric research has uncovered novel insights into pathogenesis, risk factors, and disease manifestations, informing clinical care and research across both ...
Austin M. Wheeler +20 more
wiley +1 more source
CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction
Lung nodule malignancy prediction has been enhanced by advanced deep-learning techniques and effective tricks. Nevertheless, current methods are mainly trained with cross-entropy loss using one-hot categorical labels, which results in difficulty in ...
Li, Zilong +4 more
core +1 more source
Schematic illustration of the engineered RN@FDT for multimodal tumor therapy. a) Fabrication of FD&DOX/TFA‐loaded RGD‐NNV (RN@FDT) and the light‐triggered disassemble of RN@FDT. b) After internalized by tumor cells, RN@FDT are disintegrated under NIR‐II laser irradiation to boost PTT and induce cell apoptosis.
Jiahui Zhang +16 more
wiley +1 more source
Introduction Early detection of malignant pulmonary nodules through screening has been shown to reduce lung cancer‐related mortality by 20%. However, perceptual and cognitive factors that affect nodule detection are poorly understood.
Monica‐Rose Van De Luecht +1 more
doaj +1 more source
An 83-year-old man with core needle biopsy-proven Gleason score 5 prostate cancer had received radiotherapy including 18 Gy brachytherapy to the prostate cancer, leading to no locoregional and distant recurrence for more than 5 years with the ...
Hiroyuki Yoshitake +3 more
doaj +1 more source

