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Mashup Score: 0
The COVID-19 pandemic has revealed several limitations of existing healthcare systems. Thus, there is a surge in healthcare innovation and new business models using computer-mediated virtual environments to provide an alternative healthcare system. Today, digital transformation is not limited to virtual communication alone but encompasses digitalizing the network of social connections in the…
Source: ieeexplore.ieee.orgCategories: Healthcare Professionals, Latest HeadlinesTweet
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Mashup Score: 1
In this paper, we propose a prior guided transformer for accurate radiology reports generation. In the encoder part, a radiograph is firstly represented by a set of patch features, which is obtained through a convolutional neural network and a traditional transformer encoder. Then an Additive Gaussian model is applied to represent the prior knowledge based on unsupervised clustering and sparse…
Source: ieeexplore.ieee.orgCategories: Latest Headlines, RadiologyTweet-
#AI in Radiology article alert: Prior Guided Transformer for Accurate Radiology Reports Generation (IEEE J Biomed Health Inform) https://t.co/SG0yx4SoDy @IEEEembs #ML #MachineLearning https://t.co/FbBxj7z73k
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Mashup Score: 1Dilated Convolution ResNet with Boosting Attention Modules and Combined Loss Functions for LDCT Image Denoising - 3 year(s) ago
With the increasing concern regarding the radiation exposure of patients undergoing computed tomography (CT) scans, researchers have been using deep learning techniques to improve the quality of denoised low-dose CT (LDCT) images. In this paper, a cascaded dilated residual network (ResNet) with integrated attention modules, specifically spatial- and channel- attention modules, is proposed. This…
Source: ieeexplore.ieee.orgCategories: Latest Headlines, RadiologyTweet-
Radiology #AI publication alert: Dilated Convolution ResNet with Boosting Attention Modules and Combined Loss Functions for LDCT Image Denoising (Annu Int Conf IEEE Eng Med Biol Soc) https://t.co/s3XFdb6Tlt @IEEEembs #ML #MachineLearning https://t.co/F62v5fXK3P
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Mashup Score: 12A Vision-Based Framework for Predicting Multiple Sclerosis and Parkinson's Disease Gait Dysfunctions - A Deep Learning Approach - 3 year(s) ago
This study examined the effectiveness of a
v ision-based framework for m ultiple Source: ieeexplore.ieee.orgCategories: General Medicine News, Latest HeadlinesTweet-
Team uses digital cameras, machine learning to predict neurological disease @Illinois_Alma https://t.co/FFIMNQ4ZSO https://t.co/f6NUZwpcA5
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Mashup Score: 8Voice Features of Sustained Phoneme as COVID-19 Biomarker - 3 year(s) ago
Background: The COVID-19 pandemic has resulted in enormous costs to our society. Besides finding medicines to treat those infected by the virus, it is important to find effective and efficient strategies to prevent the spreading of the disease. One key factor to prevent transmission is to identify COVID-19 biomarkers that can be used to develop an efficient, accurate, noninvasive, and…
Source: ieeexplore.ieee.orgCategories: General Medicine News, Latest HeadlinesTweet-
#Voice screening app delivers rapid results for Parkinson's and severe COVID @rmit https://t.co/ygA4OBR1Op https://t.co/JATlUnT1Sz
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Mashup Score: 2Dilated Convolution ResNet with Boosting Attention Modules and Combined Loss Functions for LDCT Image Denoising - 3 year(s) ago
With the increasing concern regarding the radiation exposure of patients undergoing computed tomography (CT) scans, researchers have been using deep learning techniques to improve the quality of denoised low-dose CT (LDCT) images. In this paper, a cascaded dilated residual network (ResNet) with integrated attention modules, specifically spatial- and channel- attention modules, is proposed. This…
Source: ieeexplore.ieee.orgCategories: Latest Headlines, RadiologyTweet-
Radiology #AI publication alert: Dilated Convolution ResNet with Boosting Attention Modules and Combined Loss Functions for LDCT Image Denoising (Annu Int Conf IEEE Eng Med Biol Soc) https://t.co/s3XFdb6Tlt @IEEEembs #ML #MachineLearning https://t.co/dApE5VKTac
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Mashup Score: 8In vivo measurements of the bulk ultrasonic attenuation coefficient of breast tissue using a novel phase-insensitive receiver - 3 year(s) ago
This study describes the first in vivo acoustic attenuation measurements of breast tissue undertaken using a novel phase-insensitive detection technique employing a differential pyroelectric sensor. The operation of the sensor is thermal in nature with its output signal being dictated by the acoustic power integrated over its surface. The particularly novel feature of the sensor lies in…
Source: ieeexplore.ieee.orgCategories: General Medicine News, Latest HeadlinesTweet-
Scientists develop new ultrasound technique for earlier detection and diagnosis of #breastcancer @npl https://t.co/LwxaojyWU3 https://t.co/XbtPLALFOG
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Mashup Score: 0Digital Health Technologies and Well-Being in the Future - 3 year(s) ago
The cultural transformation called digital health has been shaping the fundamental basics of healthcare since the beginning of the 21st century. The doctor–patient hierarchy has been transforming into an equal-level partnership. Patients are becoming empowered, thus giving birth to the empowered physician movement. The role of physicians has been changing from being the key holder to the ivory…
Source: ieeexplore.ieee.orgCategories: Healthcare Professionals, Latest HeadlinesTweet-
This study covers digital health's history in the 21st century, its possibilities for the future of #healthcare, and what life might be like in 2045 with #digitalhealth technologies. Read the study and tell me how you envision a digitalized future! https://t.co/gTVGr9VTfH https://t.co/mPuLZig8nc
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Mashup Score: 4Deep Learning-Based Phenotypic Assessment of Red Cell Storage Lesions for Safe Transfusions - 3 year(s) ago
This study presents a novel approach to automatically perform instant phenotypic assessment of red blood cell (RBC) storage lesion in phase images obtained by digital holographic microscopy. The proposed model combines a generative adversarial network (GAN) with marker-controlled watershed segmentation scheme. The GAN model performed RBC segmentations and classifications to develop ageing…
Source: ieeexplore.ieee.orgCategories: General Medicine News, Latest HeadlinesTweet-
Is #transfusion blood safe? AI holography system checks blood quality without injections https://t.co/Qcal1fHTKA https://t.co/Nb6b0hL4X1
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Mashup Score: 3A projection-domain low-count quantitative SPECT method for α-particle emitting radiopharmaceutical therapy - 3 year(s) ago
Single-photon emission computed tomography (SPECT) provides a mechanism to estimate regional isotope uptake in lesions and at-risk organs after administration of α-particle-emitting radiopharmaceutical therapies (α-RPTs). However, this estimation task is challenging due to the complex emission spectra, the very low number of detected counts ( 20 times lower than in conventional SPECT), the impact…
Source: ieeexplore.ieee.orgCategories: General Medicine News, Latest HeadlinesTweet-
New imaging-based approach to measure #radiationdose @WUSTLmedschool https://t.co/E7qYS2xgHC https://t.co/pCusJAoXQq
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The #Metaverse , yes, hard to grasp! In #Healthcare , if offers the possibility of reshaping a failed ecosystem.Failed because until now, we didn’t have the technology to truly enable change, enable humanity and #DigitalHealth #XR #MXR #AI https://t.co/aeR2sTJ3Ce