[Medical nucleus image segmentation network based on convolution and attention mechanism].

Although deep learning plays an important role in cell nucleus segmentation, it still faces problems such as difficulty in extracting subtle features and blurring of nucleus edges in pathological diagnosis. Aiming at the above problems, a nuclear segmentation network combined with attention mechanism is proposed. The network uses UNet network as the basic structure and the depth separable residual (DSRC) module as the feature encoding to avoid losing the boundary information of the cell nucleus. The feature decoding uses the coordinate attention (CA) to enhance the long-range distance in the feature space and highlights the key information of the nuclear position. Finally, the semantics information fusion (SIF) module integrates the feature of deep and shallow layers to improve the segmentation effect. The experiments were performed on the 2018 data science bowl (DSB2018) dataset and the triple negative breast cancer (TNBC) dataset. For the two datasets, the accuracy of the proposed method was 92.01% and 89.80%, the sensitivity was 90.09% and 91.10%, and the mean intersection over union was 89.01% and 89.12%, respectively. The experimental results show that the proposed method can effectively segment the subtle regions of the nucleus, improve the segmentation accuracy, and provide a reliable basis for clinical diagnosis.

Establish a Real-time Responsible Home Quarantine and Monitoring Management mHealth Platform.

Due to the global spreading of the COVID-19 virus, countries all over the world are faced with the need to conduct centralized quarantine or home quarantine for "persons who have been in contact with individuals diagnosed with the COVID-19 virus" and "visitors who have travel histories via COVID-19 hot zones". We have presented the community home quarantine service platform design that was utilized in Nanjing, China when the first wave of citizens returns to work after the Chinese New Year holidays on 10th Feb 2020. The main functions of the home quarantine monitoring system include (1) community grid management,(2) GPS positioning application in home isolation movement management,(3) Bluetooth body temperature patch data transmission integration, (4) health assessment scale (physical and mental health state) and (5) multilingual language options.