skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index
Refined by: xxx: xxx remove subject: Life Sciences & Biomedicine remove
Result Number Material Type Add to My Shelf Action Record Details and Options
1
Segmentation of Variants of Nuclei on Whole Slide Images by Using Radiomic Features
Segmentation of Variants of Nuclei on Whole Slide Images by Using Radiomic Features
Material Type:
Article 		Add to My Research

Segmentation of Variants of Nuclei on Whole Slide Images by Using Radiomic Features

Bioengineering (Basel), 2024-03, Vol.11 (3), p.252 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2024 by the authors. 2024 ;ISSN: 2306-5354 ;EISSN: 2306-5354 ;DOI: 10.3390/bioengineering11030252 ;PMID: 38534526

Full text available

Citations Cited by
2
Machine learning-based radiomic analysis and growth visualization for ablation site recurrence diagnosis in follow-up CT
Machine learning-based radiomic analysis and growth visualization for ablation site recurrence diagnosis in follow-up CT
Material Type:
Article 		Add to My Research

Machine learning-based radiomic analysis and growth visualization for ablation site recurrence diagnosis in follow-up CT

Abdominal radiology (New York), 2024-04, Vol.49 (4), p.1122-1131 [Peer Reviewed Journal]

The Author(s) 2024 ;EISSN: 2366-0058 ;DOI: 10.1007/s00261-023-04178-4

Digital Resources/Online E-Resources

Citations Cited by
3
Machine Learning-Based Classification of Lignocellulosic Biomass from Pyrolysis-Molecular Beam Mass Spectrometry Data
Machine Learning-Based Classification of Lignocellulosic Biomass from Pyrolysis-Molecular Beam Mass Spectrometry Data
Material Type:
Article 		Add to My Research

Machine Learning-Based Classification of Lignocellulosic Biomass from Pyrolysis-Molecular Beam Mass Spectrometry Data

International journal of molecular sciences, 2021-04, Vol.22 (8), p.4107 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. 2021 ;ISSN: 1422-0067 ;ISSN: 1661-6596 ;EISSN: 1422-0067 ;DOI: 10.3390/ijms22084107 ;PMID: 33921121

Full text available

Citations Cited by
4
Predicting the Appearance of Hypotension During Hemodialysis Sessions Using Machine Learning Classifiers
Predicting the Appearance of Hypotension During Hemodialysis Sessions Using Machine Learning Classifiers
Material Type:
Article 		Add to My Research

Predicting the Appearance of Hypotension During Hemodialysis Sessions Using Machine Learning Classifiers

International journal of environmental research and public health, 2021-02, Vol.18 (5), p.2364 [Peer Reviewed Journal]

2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 by the authors. 2021 ;ISSN: 1660-4601 ;ISSN: 1661-7827 ;EISSN: 1660-4601 ;DOI: 10.3390/ijerph18052364 ;PMID: 33671029

Full text available

Citations Cited by
5
Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods
Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods
Material Type:
Article 		Add to My Research

Comparative analysis, applications, and interpretation of electronic health record-based stroke phenotyping methods

BioData mining, 2020-12, Vol.13 (1), p.21-21, Article 21 [Peer Reviewed Journal]

COPYRIGHT 2020 BioMed Central Ltd. ;2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 1756-0381 ;EISSN: 1756-0381 ;DOI: 10.1186/s13040-020-00230-x ;PMID: 33372632

Full text available

Citations Cited by
6
Expanding the Utilization of Formalin-Fixed, Paraffin-Embedded Archives: Feasibility of miR-Seq for Disease Exploration and Biomarker Development from Biopsies with Clear Cell Renal Cell Carcinoma
Expanding the Utilization of Formalin-Fixed, Paraffin-Embedded Archives: Feasibility of miR-Seq for Disease Exploration and Biomarker Development from Biopsies with Clear Cell Renal Cell Carcinoma
Material Type:
Article 		Add to My Research

Expanding the Utilization of Formalin-Fixed, Paraffin-Embedded Archives: Feasibility of miR-Seq for Disease Exploration and Biomarker Development from Biopsies with Clear Cell Renal Cell Carcinoma

International journal of molecular sciences, 2018-03, Vol.19 (3), p.803 [Peer Reviewed Journal]

2018. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2018 by the authors. 2018 ;ISSN: 1422-0067 ;ISSN: 1661-6596 ;EISSN: 1422-0067 ;DOI: 10.3390/ijms19030803 ;PMID: 29534467

Full text available

Citations Cited by
7
Water Event Categorization Using Sub-Metered Water and Coincident Electricity Data
Water Event Categorization Using Sub-Metered Water and Coincident Electricity Data
Material Type:
Article 		Add to My Research

Water Event Categorization Using Sub-Metered Water and Coincident Electricity Data

Water (Basel), 2018-06, Vol.10 (6), p.714 [Peer Reviewed Journal]

COPYRIGHT 2018 MDPI AG ;2018. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2073-4441 ;EISSN: 2073-4441 ;DOI: 10.3390/w10060714

Full text available

Citations Cited by
8
Custom-Developed Reflection-Transmission Integrated Vision System for Rapid Detection of Huanglongbing Based on the Features of Blotchy Mottled Texture and Starch Accumulation in Leaves
Custom-Developed Reflection-Transmission Integrated Vision System for Rapid Detection of Huanglongbing Based on the Features of Blotchy Mottled Texture and Starch Accumulation in Leaves
Material Type:
Article 		Add to My Research

Custom-Developed Reflection-Transmission Integrated Vision System for Rapid Detection of Huanglongbing Based on the Features of Blotchy Mottled Texture and Starch Accumulation in Leaves

Plants (Basel), 2023-01, Vol.12 (3), p.616 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2023 by the authors. 2023 ;ISSN: 2223-7747 ;EISSN: 2223-7747 ;DOI: 10.3390/plants12030616 ;PMID: 36771700

Full text available

Citations Cited by

Personalize your results

  1. Edit

Refine Search Results

Expand My Results

  1.   
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait