Drift compensation on electronic nose data for non-invasive diagnosis of prostate cancer by urine analysis-Reference-Cited by-同舟云学术

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Drift compensation on electronic nose data for non-invasive diagnosis of prostate cancer by urine analysis

Published:2022-01 Issue:1 Volume:25 Page:103622
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Bax Carmen^ORCID,Prudenza Stefano,Gaspari Giulia,Capelli Laura,Grizzi Fabio^ORCID,Taverna Gianluigi

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference67 articles.

1. The use of a gas chromatography-sensor system combined with advanced statistical methods, towards the diagnosis of urological malignancies;Aggio;J. Breath Res.,2016

2. Drift correction for gas sensors using multivariate methods;Artursson;J. Chemom.,2000

3. Prostate cancer diagnosis through electronic nose in the urine headspace setting: a pilot study;Asimakopoulos;Prostate Cancer Prostatic Dis.,2014

4. Innovative diagnostic methods for early prostate cancer detection through urine analysis: a review;Bax;Cancers (Basel),2018

5. Review and comparison of cancer biomarker trends in urine as a basis for new diagnostic pathways;Bax;Cancers,2019

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Recapitulating COVID-19 detection methods: RT-PCR, sniffer dogs and electronic nose;Diagnostic Microbiology and Infectious Disease;2024-09

2. Overcoming the Limits of Cross-Sensitivity: Pattern Recognition Methods for Chemiresistive Gas Sensor Array;Nano-Micro Letters;2024-08-14

3. Prostate cancer risk stratification via eNose urine odor analysis: a preliminary report;Frontiers in Oncology;2024-03-05

4. Prostate Cancer Detection in Colombian Patients through E-Senses Devices in Exhaled Breath and Urine Samples;Chemosensors;2024-01-05

5. Open Set Domain Adaptation for Electronic Nose Drift Compensation on Uncertain Category Data;IEEE Transactions on Instrumentation and Measurement;2024

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