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Issues

Volume 65, Issue 4
July - August 2021
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All Issues
ISSN 0001-5547
EISSN 1938-2650
In this Issue

Acta Cytologica 2021, Vol. 65, No. 4

Prelims

Prelims
Acta Cytologica (2021) 65 (4): 279–282. https://doi.org/10.1159/000518599
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Editorial

Computational Technology with Artificial Intelligence and Machine Learning: What Should a Cytologist Do with It?
Jianyu Rao
Acta Cytologica (2021) 65 (4): 283–285. https://doi.org/10.1159/000508215
View articletitled, Computational Technology with Artificial Intelligence and Machine Learning: What Should a Cytologist Do with It?
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Review

Computational Cytology: Lessons Learned from Pap Test Computer-Assisted Screening
Madelyn Lew; David C. Wilbur; Liron Pantanowitz
Acta Cytologica (2021) 65 (4): 286–300. https://doi.org/10.1159/000508629
View articletitled, Computational Cytology: Lessons Learned from Pap Test Computer-Assisted Screening
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Challenges Developing Deep Learning Algorithms in Cytology
Ewen David McAlpine; Liron Pantanowitz; Pamela M. Michelow
Acta Cytologica (2021) 65 (4): 301–309. https://doi.org/10.1159/000510991
View articletitled, Challenges Developing Deep Learning Algorithms in Cytology
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Recent Advances in Medical Image Processing
Zhen Huang; Qiang Li; Ju Lu; Junlin Feng; Jiajia Hu; Ping Chen
Acta Cytologica (2021) 65 (4): 310–323. https://doi.org/10.1159/000510992
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Artificial Intelligence in Thyroid Fine Needle Aspiration Biopsies
Brie Kezlarian; Oscar Lin
Acta Cytologica (2021) 65 (4): 324–329. https://doi.org/10.1159/000512097
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Applications of Computational Pathology in Head and Neck Cytopathology
Trang K. Lollie; Jeffrey F. Krane
Acta Cytologica (2021) 65 (4): 330–334. https://doi.org/10.1159/000513286
View articletitled, Applications of Computational Pathology in Head and Neck Cytopathology
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Research Article

Developing a Machine Learning Algorithm for Identifying Abnormal Urothelial Cells: A Feasibility Study
Zhihui Zhang; Xinyan Fu; Jiwei Liu; Zhen Huang; Natalia Liu; Fengqi Fang; Jianyu Rao
Acta Cytologica (2021) 65 (4): 335–341. https://doi.org/10.1159/000510474
View articletitled, Developing a Machine Learning Algorithm for Identifying Abnormal Urothelial Cells: A Feasibility Study
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Digital/Computational Technology for Molecular Cytology Testing: A Short Technical Note with Literature Review
Robert Y. Osamura; Naruaki Matsui; Masato Kawashima; Hiroyasu Saiga; Maki Ogura; Tomoharu Kiyuna
Acta Cytologica (2021) 65 (4): 342–347. https://doi.org/10.1159/000515379
View articletitled, Digital/Computational Technology for Molecular Cytology Testing: A Short Technical Note with Literature Review
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A Preliminary Study of Deep-Learning Algorithm for Analyzing Multiplex Immunofluorescence Biomarkers in Body Fluid Cytology Specimens
Weibo Yu; Elizabeth Rao; Curtis D. Chin; Josephine S. Aguilar-Jakthong; Yunfeng Li; Christine Chow; Shu Yu (Grace) Wang; Jianyu Rao
Acta Cytologica (2021) 65 (4): 348–353. https://doi.org/10.1159/000515976
View articletitled, A Preliminary Study of Deep-Learning Algorithm for Analyzing Multiplex Immunofluorescence Biomarkers in Body Fluid Cytology Specimens
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Commentary

A Machine Learning Tool Using Digital Microscopy (Morphogo) for the Identification of Abnormal Lymphocytes in the Bone Marrow
Gusheng Tang; Xinyan Fu; Zhen Wang; Mingyi Chen
Acta Cytologica (2021) 65 (4): 354–357. https://doi.org/10.1159/000518382
View articletitled, A Machine Learning Tool Using Digital Microscopy (Morphogo) for the Identification of Abnormal Lymphocytes in the Bone Marrow
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Author Index/Subject Index
Acta Cytologica (2021) 65 (4): 358. https://doi.org/10.1159/000518600
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Message from the International Academy of Cytology
Effect on DNA stability of a novel pellet storing method for liquid-based cytology specimens fixed using an alcohol-based preservation solution: Studies using EGFR mutation detection on a lung adenocarcinoma cell line
Diagnostic Accuracy and Risk of Malignancy in Salivary Lesions Reclassified Using the Revised Milan System: A Single Institution Retrospective Analysis
HPV Primary Screening and Collaboration in Quality Assurance Work between laboratories.
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