Uncertainty- and hardness-weighted loss functions for medical image segmentation [0.03%]
不确定性加权和难度加权的损失函数在医学图像分割中的应用研究
Yanyan Zheng,Yabo Wu,Jie Chen et al.
Yanyan Zheng et al.
Accurate segmentation of medical images is essential for various image processing tasks and is now predominantly achieved using deep learning techniques. However, existing approaches often employ loss functions that fail to account for pixe...
A computation-efficient network with feature aggregation for cancer subtype classification on histopathological images [0.03%]
一种高效的基于特征聚合的癌症亚型分类网络方法
Zong Fan,Chaojie Zhang,Lulu Sun et al.
Zong Fan et al.
Histopathology whole-slide images (WSI) capture detailed structural and morphological features of tumor tissue, offering rich histological and molecular information. Deep learning (DL) methods have emerged to assist in automatically examini...
Effective Prediction of Drug Transport in a Partially Liquefied Vitreous Humor: Physics-informed Neural Network Modeling for Irregular Liquefaction Geometry [0.03%]
基于物理的神经网络模型在不规则液化几何体中有效预测部分液化的玻璃体药物传输问题
Shuqi Zhang,Anita Penkova,Xiaodong Jia et al.
Shuqi Zhang et al.
As the medium for intravitreal drug delivery, the vitreous body can significantly influence drug delivery because of various possible liquefaction geometries. This work innovatively proposes a varying-porosity approach that is capable of so...
COVID-19 symptom identification using Deep Learning and hardware emulated systems [0.03%]
使用深度学习和硬件仿真系统的COVID-19症状识别技术
Rashini Liyanarachchi,Janaka Wijekoon,Manujaya Premathilaka et al.
Rashini Liyanarachchi et al.
The COVID-19 pandemic disrupted regular global activities in every possible way. This pandemic, caused by the transmission of the infectious Coronavirus, is characterized by main symptoms such as fever, fatigue, cough, and loss of smell. A ...
Guohui Li,Jin Lu,Kang Chen et al.
Guohui Li et al.
With the emergence of new mutant corona virus disease 2019 (COVID-19) strains such as Delta and Omicron, the number of infected people in various countries has reached a new high. Accurate prediction of the number of infected people is of f...
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data [0.03%]
拓扑持续性引导的知识精馏在可穿戴传感器数据中的应用
Eun Som Jeon,Hongjun Choi,Ankita Shukla et al.
Eun Som Jeon et al.
Deep learning methods have achieved a lot of success in various applications involving converting wearable sensor data to actionable health insights. A common application areas is activity recognition, where deep-learning methods still suff...
Feature-based deep neural network approach for predicting mortality risk in patients with COVID-19 [0.03%]
基于特征的深度神经网络预测COVID-19患者死亡率的方法
Thing-Yuan Chang,Cheng-Kui Huang,Cheng-Hsiung Weng et al.
Thing-Yuan Chang et al.
In this study, we integrate deep neural network (DNN) with hybrid approaches (feature selection and instance clustering) to build prediction models for predicting mortality risk in patients with COVID-19. Besides, we use cross-validation me...
Designing a new sustainable Test Kit supply chain network utilizing Internet of Things [0.03%]
基于物联网的新可持续检测试剂盒供应链网络设计
Ali Navaei,Ata Allah Taleizadeh,Fariba Goodarzian
Ali Navaei
The advent of COVID-19 put much economic pressure on countries worldwide, especially low-income countries. Providing test kits for Covid-19 posed a huge challenge at the beginning of the pandemic. Especially the low-income and less develope...
PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection [0.03%]
基于智能手表的COVID-19检测的CNN-VAE异常检测框架（含LSTM嵌入）(PCovNet+)
Farhan Fuad Abir,Muhammad E H Chowdhury,Malisha Islam Tapotee et al.
Farhan Fuad Abir et al.
The world is slowly recovering from the Coronavirus disease 2019 (COVID-19) pandemic; however, humanity has experienced one of its According to work by Mishra et al. (2020), the study's first phase included a cohort of 5,262 subjects, with ...
Improved LSTM-based deep learning model for COVID-19 prediction using optimized approach [0.03%]
基于优化方法的COVID-19预测改进型LSTM深度学习模型
Luyu Zhou,Chun Zhao,Ning Liu et al.
Luyu Zhou et al.
Individuals in any country are badly impacted both economically and physically whenever an epidemic of infectious illnesses breaks out. A novel coronavirus strain was responsible for the outbreak of the coronavirus sickness in 2019. Corona ...