Theranostic applications of selenium nanomedicines against lung cancer
S Liu, W Wei, J Wang, T Chen - Journal of Nanobiotechnology, 2023 - Springer
The incidence and mortality rates of lung cancer are among the highest in the world.
Traditional treatment methods include surgery, chemotherapy, and radiotherapy. Although …
Traditional treatment methods include surgery, chemotherapy, and radiotherapy. Although …
Applications of machine learning in time-domain fluorescence lifetime imaging: a review
Many medical imaging modalities have benefited from recent advances in Machine
Learning (ML), specifically in deep learning, such as neural networks. Computers can be …
Learning (ML), specifically in deep learning, such as neural networks. Computers can be …
Parkinson's disease diagnosis using convolutional neural networks and figure-copying tasks
Parkinson's disease (PD) is a progressive neurodegenerative disorder that causes
abnormal movements and an array of other symptoms. An accurate PD diagnosis can be a …
abnormal movements and an array of other symptoms. An accurate PD diagnosis can be a …
Review of fluorescence lifetime imaging microscopy (FLIM) data analysis using machine learning
Fluorescence lifetime imaging microscopy (FLIM) has emerged as a promising tool for all
scientific studies in recent years. However, the utilization of FLIM data requires complex data …
scientific studies in recent years. However, the utilization of FLIM data requires complex data …
Handheld wide-field fluorescence lifetime imaging system based on a distally mounted SPAD array
AB Matheson, AT Erdogan, C Hopkinson… - Optics …, 2023 - opg.optica.org
In this work a handheld Fluorescent Lifetime IMaging (FLIM) system based on a distally
mounted< 2 mm^ 2 128× 120 single photon avalanche diode (SPAD) array operating over …
mounted< 2 mm^ 2 128× 120 single photon avalanche diode (SPAD) array operating over …
[HTML][HTML] Recent advancements in selenium nanoconstructs as a potential carrier in cancer therapy
Cancer cells require energy to carry out essential tasks, grow, and survive, like all other
body cells. The pathophysiological process of cancer is a complex one. The cytotoxicity, lack …
body cells. The pathophysiological process of cancer is a complex one. The cytotoxicity, lack …
A layer-level multi-scale architecture for lung cancer classification with fluorescence lifetime imaging endomicroscopy
Q Wang, JR Hopgood, S Fernandes… - Neural Computing and …, 2022 - Springer
In this paper, we introduce our unique dataset of fluorescence lifetime imaging
endo/microscopy (FLIM), containing over 100,000 different FLIM images collected from 18 …
endo/microscopy (FLIM), containing over 100,000 different FLIM images collected from 18 …
Deep learning-assisted co-registration of full-spectral autofluorescence lifetime microscopic images with h&e-stained histology images
Q Wang, S Fernandes, GOS Williams… - Communications …, 2022 - nature.com
Autofluorescence lifetime images reveal unique characteristics of endogenous fluorescence
in biological samples. Comprehensive understanding and clinical diagnosis rely on co …
in biological samples. Comprehensive understanding and clinical diagnosis rely on co …
Fluorescence lifetime imaging endomicroscopy-based ex-vivo lung cancer prediction using multi-scale concatenated-dilation convolutional neural networks
Deep learning technologies have been successfully applied to automatic diagnostics of ex-
vivo lung cancer with fluorescence lifetime imaging endomicroscopy (FLIM). Recent …
vivo lung cancer with fluorescence lifetime imaging endomicroscopy (FLIM). Recent …
Deep Feature Learning for Intrinsic Signature Based Camera Discrimination
C Banerjee, TK Doppalapudi, E Pasiliao… - Big Data Mining and …, 2022 - ieeexplore.ieee.org
In this paper we consider the problem of “end-to-end” digital camera identification by
considering sequence of images obtained from the cameras. The problem of digital camera …
considering sequence of images obtained from the cameras. The problem of digital camera …