Cited by 11
Deep Learning Model for Cell Nuclei Segmentation and Lymphocyte Identification in Whole Slide Histology Images

2022 Medical Technologies Congress (TIPTEKNO)
Serdar Yildiz, Abbas Memis, Songul Varl
Conference  (2022), p. 1
A Digital Workflow for Automated Assessment of Tumor-Infiltrating Lymphocytes in Oral Squamous Cell Carcinoma Using QuPath and a StarDist-Based Model
Angela Crispino, Silvia Varricchio, Gennaro Ilardi, Daniela Russo, Rosa Maria Di Crescenzo, Stefania Staibano, Francesco Merolla
Journal  Pathologica Volume 116, Issue 6 (2024), p. 390
A survey on recent trends in deep learning for nucleus segmentation from histopathology images
Anusua Basu, Pradip Senapati, Mainak Deb, Rebika Rai, Krishna Gopal Dhal
Journal  Evolving Systems Volume 15, Issue 1 (2024), p. 203
Biological insights and novel biomarker discovery through deep learning approaches in breast cancer histopathology
Divneet Mandair, Jorge S. Reis-Filho, Alan Ashworth
Journal  npj Breast Cancer Volume 9, Issue 1 (2023)
Computational staining of CD3/CD20 positive lymphocytes in human tissues with experimental confirmation in a genetically engineered mouse model
Xiang Li, Casey C. Heirman, Ashlyn G. Rickard, Gina Sotolongo, Rico Castillo, Temitayo Adanlawo, Jeffery I. Everitt, Jeffery B. Hodgin, Tammara L. Watts, Andrew Janowczyk, Yvonne M. Mowery, Laura Barisoni, Kyle J. Lafata
Journal  Frontiers in Immunology Volume 15 (2024)
Deep Learning-Based Mapping of Tumor Infiltrating Lymphocytes in Whole Slide Images of 23 Types of Cancer
Shahira Abousamra, Rajarsi Gupta, Le Hou, Rebecca Batiste, Tianhao Zhao, Anand Shankar, Arvind Rao, Chao Chen, Dimitris Samaras, Tahsin Kurc, Joel Saltz
Journal  Frontiers in Oncology Volume 11 (2022)
Pub. online: 15 Nov 2021      Type: Research Article      Open accessOpen Access
Journal:  Informatica Volume 32, Issue 4 (2021), pp. 741–757
   Abstract
Impact of Visual Image Quality on Lymphocyte Detection Using YOLOv5 and RetinaNet Algorithms
A. Polejowska, M. Sobotka, M. Kalinowski, M. Kordowski, T. Neumann
Book  Lecture Notes in Networks and Systems (The Latest Developments and Challenges in Biomedical Engineering) Volume 746 (2024), p. 41
MoE-NuSeg: Enhancing nuclei segmentation in histology images with a two-stage Mixture of Experts network
Xuening Wu, Yiqing Shen, Qing Zhao, Yanlan Kang, Wenqiang Zhang
Journal  Alexandria Engineering Journal Volume 110 (2025), p. 557
Reinforcement learning strategies for vessel navigation
Andrius Daranda, Gintautas Dzemyda
Journal  Integrated Computer-Aided Engineering Volume 30, Issue 1 (2022), p. 53
SAMS-Net: Fusion of attention mechanism and multi-scale features network for tumor infiltrating lymphocytes segmentation
Xiaoli Zhang, Kunmeng Liu, Kuixing Zhang, Xiang Li, Zhaocai Sun, Benzheng Wei
Journal  Mathematical Biosciences and Engineering Volume 20, Issue 2 (2022), p. 2964