Makaleler
Dijital Patoloji
Williams BJ, Bottoms D, Treanor D Future-proofing pathology: the case for clinical adoption of digital pathology Journal of Clinical Pathology 2017;70:1010-1018. https://jcp.bmj.com/content/70/12/1010
Williams BJ, Bottoms D, Clark D, et al Future-proofing pathology part 2: building a business case for digital pathology Journal of Clinical Pathology 2019;72:198-205. https://jcp.bmj.com/content/72/3/198
Williams BJ, Knowles C, Treanor DMaintaining quality diagnosis with digital pathology: a practical guide to ISO 15189 accreditationJournal of Clinical Pathology 2019;72:663-668. http://orcid.org/0000-0002-6641-5503 https://jcp.bmj.com/content/72/10/663
Yapay Zeka - AI
Genel
Keisuke Nakagawa , Lama Moukheiber , Leo Celi , Malhar Patel , Faisal Mahmood , Dibson Gondim , Michael Hogarth , Richard Levenson , AI in Pathol- ogy: What could possibly go wrong?, Seminars in Diagnostic Pathology (2023), doi: https://doi.org/10.1053/j.semdp.2023.02.006
Paying for artificial intelligence in medicine. npj Digit. Med. 5, 63 (2022). DOI: 10.1038/s41746-022-00609-6
Pantanowitz L. Improving the Pap test with artificial intelligence. Cancer Cytopathol. 2022 Jun;130(6):402-404. doi: 10.1002/cncy.22561. Epub 2022 Mar 15. PMID: 35291050.
Smear
- Lalasa, M., Thomas, J. (2023). A Review of Deep Learning Methods in Cervical Cancer Detection. In: Abraham, A., Hanne, T., Gandhi, N., Manghirmalani Mishra, P., Bajaj, A., Siarry, P. (eds) Proceedings of the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022). SoCPaR 2022. Lecture Notes in Networks and Systems, vol 648. Springer, Cham. https://doi.org/10.1007/978-3-031-27524-1_60 https://link.springer.com/chapter/10.1007/978-3-031-27524-1_60
Modeller
- Zeng, L., Tang, H., Wang, W. et al. MAMC-Net: an effective deep learning framework for whole-slide image tumor segmentation. Multimed Tools Appl (2023). https://doi.org/10.1007/s11042-023-15065-x https://link.springer.com/article/10.1007/s11042-023-15065-x
Veri Setleri
Telepatoloji
- Rohr JM, Ginnebaugh K, Tuthill M, Pimentel J, Markin R. Real-time Telepathology Is Substantially Equivalent to In-Person Intraoperative Frozen Section Diagnosis. Arch Pathol Lab Med. 2023 Mar 15. doi: 10.5858/arpa.2022-0261-OA. Epub ahead of print. PMID: 36920004. https://pubmed.ncbi.nlm.nih.gov/36920004/
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