Few-shot segmentation framework for lung nodules via an optimized active contour model.

Background: Accurate segmentation of lung nodules is crucial for the early diagnosis and treatment of lung cancer in clinical practice. However, the similarity between lung nodules and surrounding tissues has made their segmentation a longstanding challenge.

Purpose: Existing deep learning and active contour models each have their limitations.

An interactive nuclei segmentation framework with Voronoi diagrams and weighted convex difference for cervical cancer pathology images.

Nuclei segmentation is crucial for pathologists to accurately classify and grade cancer. However, this process faces significant challenges, such as the complex background structures in pathological images, the high-density distribution of nuclei, and cell adhesion.In this paper, we present an interactive nuclei segmentation framework that increases the precision of nuclei segmentation.

Weakly supervised video-based cardiac detection for hypertensive cardiomyopathy.

Introduction: Parameters, such as left ventricular ejection fraction, peak strain dispersion, global longitudinal strain, etc. are influential and clinically interpretable for detection of cardiac disease, while manual detection requires laborious steps and expertise. In this study, we evaluated a video-based deep learning method that merely depends on echocardiographic videos from four apical chamber views of hypertensive cardiomyopathy detection.

Corrigendum: Analysis of a super-transmission of SARS-CoV-2 omicron variant BA.5.2 in the outdoor night market.

[This corrects the article DOI: 10.3389/fpubh.2023.

Analysis of a super-transmission of SARS-CoV-2 omicron variant BA.5.2 in the outdoor night market.

Introduction: The COVID-19 pandemic continues to ravage the world, and mutations of the SARS-CoV-2 continues. The new strain has become more transmissible. The role of aerosol transmission in the pandemic deserves great attention.

A cluster of two psittacosis cases among women farmers exposed to Chlamydia psittaci-infected domestic poultry in Zhejiang Province, China.

A cluster of Chlamydia psittaci (C. psittaci) cases was reported in Zhejiang Province, China, 2019. This study evaluates the extent of the outbreak and determines the source of infection.

Improper handling of vomitus as a risk factor in the human norovirus outbreak in a kindergarten in Wuyi County, Zhejiang Province, China.

This study investigated an outbreak in a kindergarten in Wuyi County of acute gastroenteritis concerning a large number of students and teachers. We performed a case-control study, and collected information on the layout of the school, symptoms, onset time of all cases and vomiting sites. A total of 62 individuals fit the definition of probable cases; among these, there were 19 cases of laboratory-confirmed norovirus infection.

The synthesis of high-energy CT images from low-energy CT images using an improved cycle generative adversarial network.

Background: The dose of radiation a patient receives when undergoing dual-energy computed tomography (CT) is of significant concern to the medical community, and balancing the tradeoffs between the level of radiation used and the quality of CT images is challenging. This paper proposes a method of synthesizing high-energy CT (HECT) images from low-energy CT (LECT) images using a neural network that achieves an alternative to HECT scanning by employing an LECT scan, which greatly reduces the radiation dose a patient receives.

Methods: In the training phase, the proposed structure cyclically generates HECT and LECT images to improve the accuracy of extracting edge and texture features.

A study of family clustering in two young girls with novel avian influenza A (H7N9) in Dongyang, Zhejiang Province, in 2014.

Background: The avian influenza A H7N9 virus, previously unknown in humans, has infected humans in many areas of China since February 2013. Here we report on a clustering case of H7N9 in two little girls in one family in Dongyang city, Jinhua area, Zhejiang Province.

Objectives: To determine (1) whether the infections were due to person-to-person transmission or to co-exposure to poultry and (2) the prevalence of this novel H7N9 virus in Dongyang inferred by this family clustering case.