Lightweight Lung-nodule Detection Model Combined with Multidimensional Attention Convolution.

Background: Early and timely detection of pulmonary nodules and initiation treatment can substantially improve the survival rate of lung carcinoma. However, current detection methods based on convolutional neural networks (CNNs) cannot easily detect pulmonary nodules owing to low detection accuracy and the difficulty in detecting small-sized pulmonary nodules; meanwhile, more accurate CNN-based models are slow and require high hardware specifications.

Objective: The aim of this study is to develop a detection model that achieves both high accuracy and real-time performance, ensuring effective and timely results.

[Short-term observation of Acrysof Toric intraocular lens for correction of preoperative astigmatism in patients having cataract surgery].

Objective: To evaluate the results of Toric intraocular lens (IOL) for correction of preoperative astigmatism in patients having cataract phacoemulsification.

Methods: It was a prospective case series study. Seventy-one eyes (60 patients) had implantation of Acrysof Toric IOL.