Pathology in a digital realm: food for thought! by Palzum Sherpa

Subjects: “…digital pathology…”
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Crossing the Andes: Challenges and opportunities for digital pathology in Latin America by Renata A. Coudry, Emilio A.C.P. Assis, Fernando Pereira Frassetto, Angela Marie Jansen, Leonard Medeiros da Silva, Rafael Parra-Medina, Mauro Saieg

Subjects: “…Digital pathology…”
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Automated adenocarcinoma lung cancer tissue images segmentation based on clustering by Bryan Cervantes-Ramirez, Francisco Siles

Subjects: “…Digital pathology…”
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GATA6 immunohistochemistry and prognosis after surgical resection of pancreatic adenocarcinoma: results from the ESPAC-4 trial by R.C. Grant, K. Duan, R. Jackson, W. Greenhalf, E. Costello-Goldring, P. Ghaneh, C. Halloran, D. Palmer, T. Hackert, M. Büchler, S. Hutchinson, S. Ramotar, A. Dodd, J. Wilson, F. Notta, G. O’Kane, J. Knox, J. Neoptolemos, S. Gallinger, S.E. Fischer

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Digital pathology and bioinformatics analysis of PIT1 expression in pituitary macroadenomas by Milić Marko Kimi, Sinanović Šćepan, Prodović Tanja

Subjects: “…digital pathology…”
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Eye tracking in digital pathology: A comprehensive literature review by Alana Lopes, Aaron D. Ward, Matthew Cecchini

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Understanding the financial aspects of digital pathology: A dynamic customizable return on investment calculator for informed decision-making by Orly Ardon, Sylvia L. Asa, Mark C. Lloyd, Giovanni Lujan, Anil Parwani, Juan C. Santa-Rosario, Bryan Van Meter, Jennifer Samboy, Danielle Pirain, Scott Blakely, Matthew G. Hanna

Subjects: “…Digital pathology…”
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Artificial intelligence facilitates clinical management of epithelial dysplasia in multiple organs by Xin-Jia Cai

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Quantitative digital pathology enables automated and quantitative assessment of inflammatory activity in patients with autoimmune hepatitis by Piotr Socha, Elizabeth Shumbayawonda, Abhishek Roy, Caitlin Langford, Paul Aljabar, Malgorzata Wozniak, Sylwia Chełstowska, Elzbieta Jurkiewicz, Rajarshi Banerjee, Ken Fleming, Maciej Pronicki, Kamil Janowski, Wieslawa Grajkowska

Subjects: “…Digital pathology…”
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Machine learning approaches for spatial omics data analysis in digital pathology: tools and applications in genitourinary oncology by Hojung Kim, Hojung Kim, Jina Kim, Jina Kim, Su Yeon Yeon, Sungyong You, Sungyong You

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Masked pre-training of transformers for histology image analysis by Shuai Jiang, Liesbeth Hondelink, Arief A. Suriawinata, Saeed Hassanpour

Subjects: “…Digital pathology…”
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HistomicsTK: A Python toolkit for pathology image analysis algorithms by Fattaneh Pourakpour, Ákos Szölgyén, Ramin Nateghi, David A Gutman, David Manthey, Lee AD Cooper

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Deep-learning based morphological segmentation of canine diffuse large B-cell lymphoma by Kenneth Ancheta, Androniki Psifidi, Andrew D. Yale, Sophie Le Calvez, Jonathan Williams

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Computer-assisted diagnosis to improve diagnostic pathology: A review by Alessandro Caputo, Elisabetta Maffei, Nalini Gupta, Luca Cima, Francesco Merolla, Giorgio Cazzaniga, Pietro Pepe, Paolo Verze, Filippo Fraggetta

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Investigation on potential bias factors in histopathology datasets by Farnaz Kheiri, Shahryar Rahnamayan, Masoud Makrehchi, Azam Asilian Bidgoli

Subjects: “…Digital pathology…”
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RT-4M: Real-Time Mosaicing Manager for Manual Microscopy System by Nobuhito Mori, Yoshihiro Miyazaki, Tatsuya Oda, Yasuyuki S. Kida

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A Tertiary lymphoid structures-based pathological score predicts survival and recurrence in colorectal Cancer patients by Marion Le Rochais, Marie Morvan, Servane Bouzeloc, Jean-Baptiste Nousbaum, Matthieu Guillard, Pierre Le Noac'h, Soizic Garaud, Arnaud Uguen

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A selective CutMix approach improves generalizability of deep learning-based grading and risk assessment of prostate cancer by Sushant Patkar, Stephanie Harmon, Isabell Sesterhenn, Rosina Lis, Maria Merino, Denise Young, G. Thomas Brown, Kimberly M. Greenfield, John D. McGeeney, Sally Elsamanoudi, Shyh-Han Tan, Cara Schafer, Jiji Jiang, Gyorgy Petrovics, Albert Dobi, Francisco J. Rentas, Peter A. Pinto, Gregory T. Chesnut, Peter Choyke, Baris Turkbey, Joel T. Moncur

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An international study of stain variability in histopathology using qualitative and quantitative analysis by Catriona Dunn, David Brettle, Chantell Hodgson, Robert Hughes, Darren Treanor

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Advancing Ovarian Cancer Diagnosis Through Deep Learning and eXplainable AI: A Multiclassification Approach by Meera Radhakrishnan, Niranjana Sampathila, H. Muralikrishna, K. S. Swathi

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