نتائج البحث

Computational methods for metastasis detection in lymph nodes and characterization of the metastasis-free lymph node microarchitecture: A systematic-narrative hybrid review

• Authors : Elzbieta Budginaite; Derek R. Magee; Maximilian Kloft

Subjects: Lymph node; Artificial intelligence; Segmentation

• Source: Journal of Pathology Informatics, Vol 15, Iss , Pp 100367- (2024)

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Differentiation of pancreatic ductal adenocarcinoma and chronic pancreatitis using graph neural networks on histopathology and collagen fiber features.

• Authors : Li B; Department of Biomedical Engineering, University of Wisconsin-Madison, Madison 53706, WI, USA.; Morgridge Institute for Research, Madison 53705, WI, USA.

• Source: Journal of pathology informatics [J Pathol Inform] 2022 Nov 19; Vol. 13, pp. 100158. Date of Electronic Publication: 2022 Nov 19 (Print Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101528849 Publication Model: eCollection Cited Medium: Print ISSN:

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State of the Art Cell Detection in Bone Marrow Whole Slide Images.

• Authors : Gräbel P; Institute of Imaging and Computer Vision, RWTH Aachen University, Aachen, Germany.; Özkan Ö

• Source: Journal of pathology informatics [J Pathol Inform] 2021 Sep 17; Vol. 12, pp. 36. Date of Electronic Publication: 2021 Sep 17 (Print Publication: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101528849 Publication Model: eCollection Cited Medium: Print ISSN:

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Analysis on the Characterization of Multiphoton Microscopy Images for Malignant Neoplastic Colon Lesion Detection under Deep Learning Methods.

• Authors : Terradillos E; TECNALIA, Basque Research and Technology Alliance, Derio, Spain.; Saratxaga CL

• Source: Journal of pathology informatics [J Pathol Inform] 2021 Jun 30; Vol. 12, pp. 27. Date of Electronic Publication: 2021 Jun 30 (Print Publication: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101528849 Publication Model: eCollection Cited Medium: Print ISSN:

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Constellation Loss: Improving the Efficiency of Deep Metric Learning Loss Functions for the Optimal Embedding of histopathological images.

• Authors : Medela A; TECNALIA, Basque Research and Technology Alliance (BRTA), Parque Tecnológico de Bizkaia, C/ Geldo. Edificio 700, E-48160 Derio - Bizkaia (Spain).; Picon A

• Source: Journal of pathology informatics [J Pathol Inform] 2020 Nov 26; Vol. 11, pp. 38. Date of Electronic Publication: 2020 Nov 26 (Print Publication: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101528849 Publication Model: eCollection Cited Medium: Print ISSN:

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Detecting and segmenting cell nuclei in two-dimensional microscopy images.

• Authors : Liu C; Department of Biomedical Engineering, Carnegie Mellon University, Beijing, China.; Shang F

• Source: Journal of pathology informatics [J Pathol Inform] 2016 Oct 21; Vol. 7, pp. 42. Date of Electronic Publication: 2016 Oct 21 (Print Publication: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101528849 Publication Model: eCollection Cited Medium: Print ISSN:

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Pathology interface for the molecular analysis of tissue by mass spectrometry.

• Authors : Norris JL; Department of Biochemistry, National Research Resource for Imaging Mass Spectrometry, Mass Spectrometry Research Center, Vanderbilt University School of Medicine, Nashville, Tennessee 37240, USA.; Tsui T

• Source: Journal of pathology informatics [J Pathol Inform] 2016 Apr 11; Vol. 7, pp. 13. Date of Electronic Publication: 2016 Apr 11 (Print Publication: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101528849 Publication Model: eCollection Cited Medium: Print ISSN:

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