نتائج البحث - "blood cell morphology"

المساهمون: Universitat Politècnica de Catalunya. Departament de Matemàtiques, Universitat Politècnica de Catalunya. CoDAlab - Control, Dades i Intel·ligència Artificial

مصطلحات موضوعية: Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències, Artificial intelligence--Engineering applications, Blood cell automatic recognition, Blood cell morphology, Convolutional neural networks, Cytoplasmic inclusions, Deep learning, Generative adversarial networks, Neutrophils, Aprenentatge profund, Intel·ligència artificial--Aplicacions a l'enginyeria

وصف الملف: application/pdf

Relation: https://www.sciencedirect.com/science/article/pii/S0010482524007765; Barrera, K. [et al.]. A deep learning approach for automatic recognition of abnormalities in the cytoplasm of neutrophils. "Computers in biology and medicine", Juny 2024, vol. 178, núm. 108691.; http://hdl.handle.net/2117/412034

الاتاحة: http://hdl.handle.net/2117/412034
https://doi.org/10.1016/j.compbiomed.2024.108691

View record in BASE

8

Academic Journal

Effects of Three Different Anticoagulants on Blood Cell Morphology, Anticoagulation, and Hematological Parameters in Turbot (Scophthalmus maximus)

المؤلفون: Ting XIE, Yuntao GAO, Mingyue LI, Yunhong GAO, Yudong JIA, Dongchun YAN

المصدر: Progress in Fishery Sciences, Vol 44, Iss 2, Pp 68-76 (2023)

مصطلحات موضوعية: scophthalmus maximus, anticoagulants, anticoagulant effect, blood cell morphology, blood physiology and biochemistry, Aquaculture. Fisheries. Angling, SH1-691

وصف الملف: electronic resource

Relation: http://journal.yykxjz.cn/yykxjz/ch/reader/view_abstract.aspx?file_no=20210813001; https://doaj.org/toc/2095-9869

URL الوصول: https://doaj.org/article/0fcca365a52148ec801aee18bcf0dc16

View record in DOAJ

9

Academic Journal

Editorial: Images from red cells, Volume II

المؤلفون: Giampaolo Minetti, Paola Bianchi, Anna Bogdanova, Lars Kaestner

المصدر: Frontiers in Physiology, Vol 14 (2023)

مصطلحات موضوعية: red blood cell morphology, microscopy, anemia, RBC membrane defects, cytoskeleton, Physiology, QP1-981

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphys.2023.1252273/full; https://doaj.org/toc/1664-042X

URL الوصول: https://doaj.org/article/e3ffefd9d6cb43a1a5a6798cb1e4d1ce

View record in DOAJ

Full Text Finder

10

Academic Journal

Editorial: Images from red cell

المؤلفون: Paola Bianchi, Giampaolo Minetti, Anna Bogdanova, Lars Kaestner

المصدر: Frontiers in Physiology, Vol 13 (2023)

مصطلحات موضوعية: red blood cell morphology, anemia, membrane-skeleton, ion channels, reticulocyte, membrane vesicles, Physiology, QP1-981

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fphys.2022.1113951/full; https://doaj.org/toc/1664-042X

URL الوصول: https://doaj.org/article/3ba56a61de02458ab4e999b3a9c9f984

View record in DOAJ

Full Text Finder

11

Academic Journal

[Evaluation of blood cell morphology with the RBC Advanced Application: Which cut-offs are most needed for which specific abnormalities?].

المؤلفون: Bennis, Rhita, Mullier, FranÃ§ois, Saussoy, Pascale

المساهمون: UCL - (MGD) Laboratoire de biologie clinique, UCL - SSS/IREC/MONT - PÃ´le Mont Godinne

المصدر: Annales de biologie clinique, Vol. 81, no.5 (2023)

مصطلحات موضوعية: Advanced RBC Application, Cellavision DM9600, clinical Biology, erythrocyte morphological abnormalities, grading system, haematology, red blood cell morphology, standardization

Relation: boreal:282176; http://hdl.handle.net/2078.1/282176; info:pmid/38018848; urn:EISSN:1950-6112

الاتاحة: http://hdl.handle.net/2078.1/282176
https://doi.org/10.1684/abc.2023.1837

View record in BASE

12

Academic Journal

Automatic normalized digital color staining in the recognition of abnormal blood cells using generative adversarial networks

المؤلفون: Barrera Llanga, Kevin Iván, Rodellar Benedé, José, Alférez Baquero, Edwin Santiago, Merino González, Anna

المساهمون: Universitat Politècnica de Catalunya. Doctorat en Automàtica, Robòtica i Visió, Universitat Politècnica de Catalunya. Departament de Matemàtiques, Universitat Politècnica de Catalunya. CoDAlab - Control, Dades i Intel·ligència Artificial

مصطلحات موضوعية: Àrees temàtiques de la UPC::Enginyeria biomèdica, Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial, Blood cells, Neural networks (Computer science), Deep learning, Blood cell morphology, Digital staining, Generative Adversarial Networks, Convolutional Neural Networks, Blood cell automatic recognition, Cèl·lules sanguínies, Xarxes neuronals (Informàtica)

وصف الملف: 17 p.; application/pdf

Relation: https://www.sciencedirect.com/science/article/pii/S0169260723002948; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104087RB-I00/ES/HEMATOPATOLOGIA COMPUTACIONAL: SOLUCIONES DE APRENDIZAJE PROFUNDO PARA EL DIAGNOSTICO DE ENFERMEDADES HEMATOLOGICAS A PARTIR DE IMAGENES DE CELULAS DE SANGRE PERIFERICA/; Barrera, K. [et al.]. Automatic normalized digital color staining in the recognition of abnormal blood cells using generative adversarial networks. "Computer methods and programs in biomedicine", Octubre 2023, vol. 240, núm. article 107629.; http://hdl.handle.net/2117/388489

الاتاحة: http://hdl.handle.net/2117/388489
https://doi.org/10.1016/j.cmpb.2023.107629

View record in BASE