المؤلفون: Wenhua Zhang, Sen Yang, Meiwei Luo, Chuan He, Yuchen Li, Jun Zhang, Xiyue Wang, Fang Wang

المصدر: Computational and Structural Biotechnology Journal, Vol 24, Iss , Pp 699-710 (2024)

مصطلحات موضوعية: Digital pathology, Deep learning, Nuclei segmentation, Nuclei classification, Biotechnology, TP248.13-248.65

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2001037024003672; https://doaj.org/toc/2001-0370

URL الوصول: https://doaj.org/article/b9465b934787457b8c736f8ce057b424

المؤلفون: Ruifen Cao, Qingbin Meng, Dayu Tan, Pijing Wei, Yun Ding, Chunhou Zheng

المصدر: Sensors, Vol 24, Iss 22, p 7208 (2024)

مصطلحات موضوعية: histology images, deep learning, nuclei segmentation, nuclei classification, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/24/22/7208; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/26d9080d232242eb9729fab76e04efb0

المؤلفون: Naji Hussein, Hahn Lunas, Bozek Katarzyna

المصدر: Current Directions in Biomedical Engineering, Vol 9, Iss 1, Pp 210-213 (2023)

مصطلحات موضوعية: nuclei classification, machine learning, feature engineering, Medicine

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2364-5504

URL الوصول: https://doaj.org/article/ec2b71470f8446e6884d943a664d8738

المؤلفون: Miguel Luna, Philip Chikontwe, Sang Hyun Park

المصدر: Bioengineering, Vol 11, Iss 3, p 294 (2024)

مصطلحات موضوعية: nuclei segmentation, nuclei classification, prompt guided segmentation, domain alignment, long-tailed distribution, Technology, Biology (General), QH301-705.5

Relation: https://www.mdpi.com/2306-5354/11/3/294; https://doaj.org/toc/2306-5354; https://doaj.org/article/26d4fe7d5fad41e38f0c51c999cf5283

الاتاحة: https://doi.org/10.3390/bioengineering11030294
https://doaj.org/article/26d4fe7d5fad41e38f0c51c999cf5283

المؤلفون: Wan Siti Halimatul Munirah Wan Ahmad, Mohammad Faizal Ahmad Fauzi, Md Jahid Hasan, Zaka Ur Rehman, Jenny Tung Hiong Lee, See Yee Khor, Lai-Meng Looi, Fazly Salleh Abas, Afzan Adam, Elaine Wan Ling Chan, Sei-Ichiro Kamata

المصدر: IEEE Access, Vol 11, Pp 79911-79928 (2023)

مصطلحات موضوعية: DenseNet, ER-IHC, nuclei classification, PyTorch, TensorFlow, whole slide image, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10187125/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/644c13e61a88483ebd0cad53fa12733d

المؤلفون: Ruixiong Wang, Daniel Butt, Stephen Cross, Paul Verkade, Alin Achim

المصدر: Biological Imaging, Vol 3 (2023)

مصطلحات موضوعية: attention network, fluorescent image translation, GAN, nuclei classification, Biology (General), QH301-705.5, Medical technology, R855-855.5

وصف الملف: electronic resource

Relation: https://www.cambridge.org/core/product/identifier/S2633903X23000120/type/journal_article; https://doaj.org/toc/2633-903X

URL الوصول: https://doaj.org/article/d821b32569a344dd92ffcb84672621a5

المؤلفون: Areej A. Malibari, Marwa Obayya, Abdulbaset Gaddah, Amal S. Mehanna, Manar Ahmed Hamza, Mohamed Ibrahim Alsaid, Ishfaq Yaseen, Amgad Atta Abdelmageed

المصدر: Bioengineering; Volume 10; Issue 1; Pages: 87

مصطلحات موضوعية: breast cancer, mitotic nuclei classification, histopathology images, artificial hummingbird algorithm, medical imaging

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Biosignal Processing; https://dx.doi.org/10.3390/bioengineering10010087

الاتاحة: https://doi.org/10.3390/bioengineering10010087

المؤلفون: Rayed AlGhamdi

المصدر: Biomimetics, Vol 8, Iss 474, p 474 (2023)

مصطلحات موضوعية: deep learning, computer-aided diagnosis, mitotic nuclei classification, segmentation, metaheuristics, Technology

Relation: https://www.mdpi.com/2313-7673/8/6/474; https://doaj.org/toc/2313-7673; https://doaj.org/article/b60960a5ff584539bad46714848352f5

الاتاحة: https://doi.org/10.3390/biomimetics8060474
https://doaj.org/article/b60960a5ff584539bad46714848352f5

المؤلفون: Fadwa Alrowais, Faiz Abdullah Alotaibi, Abdulkhaleq Q. A. Hassan, Radwa Marzouk, Mrim M. Alnfiai, Ahmed Sayed

المصدر: Biomimetics, Vol 8, Iss 7, p 538 (2023)

مصطلحات موضوعية: medical imaging, artificial intelligence, bio-inspired algorithm, mitotic nuclei classification, deep learning, Technology

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2313-7673/8/7/538; https://doaj.org/toc/2313-7673

URL الوصول: https://doaj.org/article/a3d691705d3b4081b28b37670b4bde38

المؤلفون: Foucart, Adrien, Debeir, Olivier, Decaestecker, Christine

المصدر: IEEE transactions on medical imaging, 41 (4

مصطلحات موضوعية: Ingénierie biomédicale, Histopathologie, Intelligence artificielle, challenge, Digital pathology, nuclei classification, nuclei segmentation

وصف الملف: 1 full-text file(s): application/pdf

Relation: uri/info:doi/10.1109/TMI.2022.3156023; uri/info:scp/85128186421; https://dipot.ulb.ac.be/dspace/bitstream/2013/341438/1/doi_325082.pdf; http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/341438

الاتاحة: http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/341438
https://dipot.ulb.ac.be/dspace/bitstream/2013/341438/1/doi_325082.pdf

المؤلفون: Lou, Wei, Wan, Xiang, Li, Guanbin, Lou, Xiaoying, Li, Chenghang, Gao, Feng, Li, Haofeng

مصطلحات موضوعية: Decoding, Feature extraction, Graph neural network, Graph neural networks, Histopathology, Image edge detection, Nuclei classification, Recurrent neural network, Shape, Task analysis

Relation: http://repository.hkust.edu.hk/ir/Record/1783.1-138690; IEEE Transactions on Medical Imaging, April 2024, article number 10497696, p. 1-1; https://doi.org/10.1109/TMI.2024.3388328; http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=0278-0062&rft.volume=&rft.issue=&rft.date=2024&rft.spage=1&rft.aulast=Lou&rft.aufirst=Wei&rft.atitle=Structure+Embedded+Nucleus+Classification+for+Histopathology+Images&rft.title=IEEE+Transactions+on+Medical+Imaging; http://www.scopus.com/record/display.url?eid=2-s2.0-85190327592&origin=inward

الاتاحة: http://repository.hkust.edu.hk/ir/Record/1783.1-138690
https://doi.org/10.1109/TMI.2024.3388328
http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=0278-0062&rft.volume=&rft.issue=&rft.date=2024&rft.spage=1&rft.aulast=Lou&rft.aufirst=Wei&rft.atitle=Structure+Embedded+Nucleus+Classification+for+Histopathology+Images&rft.title=IEEE+Transactions+on+Medical+Imaging
http://www.scopus.com/record/display.url?eid=2-s2.0-85190327592&origin=inward

المؤلفون: Khorshed, Reema A. A.

المساهمون: Jiang, Jianmin, Phillips, Roger M., Holton, Robert

مصطلحات موضوعية: 616.99, Image processing, Cancer, Immunohistological, Nuclei segmentation, Nuclei classification, Feature extraction, Automation, Antibody quantification, Antibody staining, Colonic cancer spheroid images, Cancer markers, Computer aided scoring, Machine learning

URL الوصول: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.583028

المؤلفون: Leichner, Jared

المصدر: FIU Electronic Theses and Dissertations

مصطلحات موضوعية: Brain, Cortex, Motor, Somatosensory, Cortical Column, Neuron, Astrocyte, Vasculature, Nuclei, Fractional Volume Analysis, Deconvolution, Nuclei Classification, Bioimaging and Biomedical Optics, Biotechnology, Computational Neuroscience, Data Science, Neuroscience and Neurobiology, Other Biomedical Engineering and Bioengineering

وصف الملف: application/pdf

Relation: https://digitalcommons.fiu.edu/etd/4457; https://digitalcommons.fiu.edu/context/etd/article/5794/viewcontent/FIDC009178.pdf

الاتاحة: https://digitalcommons.fiu.edu/etd/4457
https://doi.org/10.25148/etd.FIDC009178
https://digitalcommons.fiu.edu/context/etd/article/5794/viewcontent/FIDC009178.pdf

المؤلفون: Carse, Jacob, McKenna, Stephen

المساهمون: Reyes-Aldasoro, Constantino Carlos, Janowczyk, Andrew, Veta, Mitko, Bankhead, Peter, Sirinukunwattana, Korsuk

المصدر: Carse , J & McKenna , S 2019 , Active Learning for Patch-Based Digital Pathology using Convolutional Neural Networks to Reduce Annotation Costs . in C C Reyes-Aldasoro , A Janowczyk , M Veta , P Bankhead & K Sirinukunwattana (eds) , Digital Pathology : 15th European Congress, ECDP 2019, Warwick, UK, April 10–13, 2019, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , vol. 11435 LNCS , Springer , Switzerland , pp. 20-27 , 15th European Congress on Digital Pathology (ECDP) , Warwick , United Kingdom , ....

مصطلحات موضوعية: Active learning, Deep learning, Image annotation, Nuclei classification, /dk/atira/pure/subjectarea/asjc/2600/2614, name=Theoretical Computer Science, /dk/atira/pure/subjectarea/asjc/1700/1700, name=General Computer Science

وصف الملف: application/pdf

Relation: https://discovery.dundee.ac.uk/en/publications/bcc1d4df-4be0-4305-bf2c-7b779cd3b751; urn:ISBN:9783030239374; urn:ISBN:9783030239367

الاتاحة: https://discovery.dundee.ac.uk/en/publications/bcc1d4df-4be0-4305-bf2c-7b779cd3b751
https://doi.org/10.1007/978-3-030-23937-4_3
https://discovery.dundee.ac.uk/ws/files/37476996/Active_Learning_for_Patch_Based_DigitalPathology_using_Convolutional_Neural_Networksto_Reduce_Annotation_Costs.pdf
http://www.scopus.com/inward/record.url?scp=85069233762&partnerID=8YFLogxK

المؤلفون: Thibault, Guillaume, Devic, Caroline, Horn, Jean-François, Fertil, Bernard, Sequeira, Jean, Mari, Jean-Luc

المساهمون: Skala, Václav

مصطلحات موضوعية: rozpoznávání obrazu, indexy tvarů, indexy textur, Haralickovy rysy, klasifikace buněčných jader, pattern recognition, shape indexes, texture indexes, Haralick’s features, cell nuclei classification

وصف الملف: 4 s.; application/pdf

Relation: WSCG '2008: Poster Proceedings; WSCG ’2008: Poster Proceedings: The 16-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, February 4-7, 2008, p. 25-28.; http://wscg.zcu.cz/wscg2008/Papers_2008/poster/!_WSCG2008_Poster_final.zip; http://hdl.handle.net/11025/800

الاتاحة: http://hdl.handle.net/11025/800
http://wscg.zcu.cz/wscg2008/Papers_2008/poster/!_WSCG2008_Poster_final.zip

المؤلفون: Mattia, Carmine

المساهمون: Campanini, Renato, Roffilli, Matteo

مصطلحات موضوعية: convolutional neural network,CNN,ladder network,nuclei classification,routine colon cancer histology images, Fisica [LM-DM270]

وصف الملف: application/pdf

Relation: http://amslaurea.unibo.it/12262/1/Mattia_Carmine.pdf; Mattia, Carmine (2016) Exploring CNNs: an application study on nuclei recognition task in colon cancer histology images. [Laurea magistrale], Università di Bologna, Corso di Studio in Fisica [LM-DM270]

الاتاحة: http://amslaurea.unibo.it/12262/
http://amslaurea.unibo.it/12262/1/Mattia_Carmine.pdf

المؤلفون: Khorshed, Reema A.A.

Thesis Advisors: Jiang, Jianmin, Phillips, Roger M., Holton, Robert

مصطلحات موضوعية: Image processing, Cancer, Immunohistological, Nuclei segmentation, Nuclei classification, Feature extraction, Automation, Antibody quantification, Antibody staining, Colonic cancer spheroid images, Cancer markers, Computer aided scoring, Machine learning

الاتاحة: http://hdl.handle.net/10454/5763

المساهمون: Medi, E

المصدر: Ass. Geofis. Ital., Atti Conv. Annu. 16: 85-99(May 1967).; Other Information: From 16th Annual Conference of Italian Geophysical Society, Naples, Italy. See CONF-670532. Orig. Receipt Date: 31-DEC-70

وصف الملف: Medium: X

URL الوصول: http://www.osti.gov/scitech/biblio/4115636

المساهمون: Sabalyauskas, L

المصدر: Liet. Fiz. Rinkinys, Liet. TSR Mokslu Akad., Liet. TSR Aukst. Mokyklos, 8: No. 1--2, 77-86(1968).; Other Information: Orig. Receipt Date: 31-DEC-69

وصف الملف: Medium: X

URL الوصول: http://www.osti.gov/scitech/biblio/4788494

المساهمون: Vanagas, V

المصدر: Liet. Fiz. Rinkinys, Liet. TSR Mokslu Akad., Liet. TSR Aukst. Mokyklos, 8: No. 1--2, 87-95 (1968).; Other Information: Orig. Receipt Date: 31-DEC-69

وصف الملف: Medium: X

URL الوصول: http://www.osti.gov/scitech/biblio/4786336