LVI-PathNet: Segmentation-classification pipeline for detection of lymphovascular invasion in whole slide images of lung adenocarcinoma-Reference-Cited by-同舟云学术

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LVI-PathNet: Segmentation-classification pipeline for detection of lymphovascular invasion in whole slide images of lung adenocarcinoma

Published:2024-08 Issue: Volume: Page:100395
ISSN:2153-3539
Container-title:Journal of Pathology Informatics
language:en
Short-container-title:Journal of Pathology Informatics

Author:

Timakova Anna,Ananev Vladislav,Fayzullin Alexey,Zemnuhov Egor,Rumyantsev Egor,Zharov Andrey,Zharkov Nicolay,Zotova Varvara,Shchelokova Elena,Demura Tatiana,Timashev Peter,Makarov Vladimir

Funder

Ministry of Science and Higher Education of the Russian Federation

Russian Science Foundation

Russian Science Support Foundation

Publisher

Elsevier BV

Reference33 articles.

1. Global cancer statistics 2022: the trends projection analysis;Chhikara;Chem Biol Lett,2023

2. TNM Classification of Malignant Tumours;Brierley,2017

3. Microvessel prediction in H&E Stained Pathology Images using fully convolutional neural networks;Yi;BMC Bioinform,2018

4. Ensemble deep learning model to predict lymphovascular invasion in gastric cancer;Lee;Cancers (Basel),2024

5. Datasets for the reporting of neoplasia of the testis: recommendations from the International Collaboration on Cancer Reporting;Berney;Histopathology,2019

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