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Compare Derived U-Nets Using For Retinal Vessels Segmentation
U-Net frameworks reveal potential on image segmentation tasks of the complex morphologic objects, such as capillaries. To compare the performance of vessels segmentation in fundus images, in this paper, we review U-Net and its three derived ...
Information Compensation Based on Pulse Coupled Neural Network
Image Fusion is an enhancement technique, which aims to combine the images acquired by different sensors and generate informative images in order to make the subsequent processing easier or to help make decisions. The image fusion mission is done by the ...
Deep Learning Framework for Detecting Positive Lymph Nodes of Gastric Cancer on Histopathological Images
Gastric cancer is one of the most common cancers worldwide. The N staging of gastric cancer is a decisive factor in prognostic evaluation and decision-making of staged cancer treatment strategies. Pathologists generally judge the N staging of gastric ...
Enhancement Of Covid-19 Segmentation Using Machine Learning Analyses Of Lung Imaging
The Covid-19 pandemic has caused more then 193 million cases and 4.1 million deaths worldwide as of July 2021. The Fleischner Society reported that Computerized Tomography (CT) is a useful tool for the early identification of Covid-19. Covid-19 disease ...
An Efficient EEG Microstate Analysis Method for Emotion Study
Emotion plays an essential role in human health and daily life. Estimating emotions in a brain-level dynamic approach helps to understand the underlying neural mechanism, deepen emotion interpretation, and boost the development of affective computing ...
Searching Efficient Models for Human Activity Recognition
Human Activity Recognition (HAR) can be measured in various ways in a new era of growing technologies. This paper studies different classification and data processing tasks. This paper proposes using HAR to monitor the elderly while being power-...
NF90 regulates HIF-1/VEGF expression through PI3K/Akt/mTOR pathway to promote angiogenesis in NSCLC
As one of the most diagnosed cancers in the world and the main cause for global cancer mortality, the treatment and prognosis of NSCLC is still a challenge. Some studies find that NF90, a double-stranded RNA binding protein, can regulate the expression ...
3D-Printing-Oriented Mechanical Redesign of a Hand Exoskeleton System for Rehabilitative Tasks
- Lorenzo Bartalucci,
- Cosimo Cavuoti,
- Nicola Secciani,
- Jonathan Gelli,
- Andrea Della Valle,
- Benedetto Allotta,
- Alessandro Ridolfi
The number of Years Lived with Disability (YLDs) is growing at an impressive pace under the aging global population's push. Consequently, the demand for innovative therapies and solutions to improve the quality of life of disabled people is rising. ...
Overview of Alzheimer's Disease Research
Alzheimer's disease is an irreversible chronic disease, which is more common in the elderly. Currently, there is no complete cure for Alzheimer's disease, and some methods can only play a delaying role. There are many factors that can cause Alzheimer's, ...
Research on the Relationship between Race and the COVID-19
Ethnic and Racial minorities have been disproportionally affected by COVID-19 which can be seen from a significantly higher hospitalization rate, ICU-admission rate, and mortality rate [1]. This disparity has posed a great burden to certain racial ...
Index Terms
- Proceedings of the 2021 6th International Conference on Biomedical Imaging, Signal Processing