Results 161 to 170 of about 341,209 (261)

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Declines in cervical cancer incidence among young women in the United States. [PDF]

J Natl Cancer Inst
Gopalani SV, Qin J, Wu M, Senkomago V.
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Analysis of factors associated with cervical cancer and precancerous lesions. [PDF]

Sci Rep
Hu D, Zhao Y, Han M, Qian W, Xu X, Sheng S.   +5 more
europepmc   +1 more source

An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification

Advanced Intelligent Systems, EarlyView.
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li, Ailing Gao, Guoxu Liu, Chunlei Chen, Yonghui Zhang, Sunkyoung Kang, M. Khosravi   +6 more
wiley   +1 more source

Cervical Cancer Elimination in Australia and the Asia Pacific: Progress and Barriers. [PDF]

Med J Aust
Yuill S, Naidu C, Smith M, Bateson D, Saville M, Damutalau B, Canfell K.   +6 more
europepmc   +1 more source

Impact of variation in the α/β of cervical cancer on predicted clinical outcomes. [PDF]

J Appl Clin Med Phys
Thayer-Freeman C, Washington B, Cheek D, Luo W.   +3 more
europepmc   +1 more source