A review on federated learning towards image processing
Nowadays, data privacy is an important consideration in machine learning. This paper
provides an overview of how Federated Learning can be used to improve data security and …
provides an overview of how Federated Learning can be used to improve data security and …
Current technologies for detection of COVID-19: Biosensors, artificial intelligence and internet of medical things (IOMT)
Despite the fact that COVID-19 is no longer a global pandemic due to development and
integration of different technologies for the diagnosis and treatment of the disease …
integration of different technologies for the diagnosis and treatment of the disease …
An efficient deep learning approach to automatic glaucoma detection using optic disc and optic cup localization
Glaucoma is an eye disease initiated due to excessive intraocular pressure inside it and
caused complete sightlessness at its progressed stage. Whereas timely glaucoma screening …
caused complete sightlessness at its progressed stage. Whereas timely glaucoma screening …
COVID-19 classification using chest X-ray images based on fusion-assisted deep Bayesian optimization and Grad-CAM visualization
A Hamza, M Attique Khan, SH Wang… - Frontiers in Public …, 2022 - frontiersin.org
The COVID-19 virus's rapid global spread has caused millions of illnesses and deaths. As a
result, it has disastrous consequences for people's lives, public health, and the global …
result, it has disastrous consequences for people's lives, public health, and the global …
A long short-term memory biomarker-based prediction framework for Alzheimer's disease
The early prediction of Alzheimer's disease (AD) can be vital for the endurance of patients
and establishes as an accommodating and facilitative factor for specialists. The proposed …
and establishes as an accommodating and facilitative factor for specialists. The proposed …
Classification of multi-differentiated liver cancer pathological images based on deep learning attention mechanism
C Chen, C Chen, M Ma, X Ma, X Lv, X Dong… - BMC Medical Informatics …, 2022 - Springer
Purpose Liver cancer is one of the most common malignant tumors in the world, ranking fifth
in malignant tumors. The degree of differentiation can reflect the degree of malignancy. The …
in malignant tumors. The degree of differentiation can reflect the degree of malignancy. The …
Explainable artificial intelligence approach in combating real-time surveillance of COVID19 pandemic from CT scan and X-ray images using ensemble model
Population size has made disease monitoring a major concern in the healthcare system,
due to which auto-detection has become a top priority. Intelligent disease detection …
due to which auto-detection has become a top priority. Intelligent disease detection …
A review of deep learning methods for compressed sensing image reconstruction and its medical applications
Compressed sensing (CS) and its medical applications are active areas of research. In this
paper, we review recent works using deep learning method to solve CS problem for images …
paper, we review recent works using deep learning method to solve CS problem for images …
Development of a low-cost robotized 3D-prototype for automated optical microscopy diagnosis: An open-source system
A Dantas de Oliveira, C Rubio Maturana… - Plos One, 2024 - journals.plos.org
In a clinical context, conventional optical microscopy is commonly used for the visualization
of biological samples for diagnosis. However, the availability of molecular techniques and …
of biological samples for diagnosis. However, the availability of molecular techniques and …
[PDF][PDF] A healthcare system for COVID19 classification using multi-type classical features selection
The coronavirus (COVID19), also known as the novel coronavirus, first appeared in
December 2019 in Wuhan, China. After that, it quickly spread throughout the world and …
December 2019 in Wuhan, China. After that, it quickly spread throughout the world and …