CINNAMON-GUI: Revolutionizing Pap Smear Analysis with CNN-Based Digital Pathology Image Classification [version 1; peer review: 2 approved] by Luca Zammataro

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Digital pathology and artificial intelligence in renal cell carcinoma focusing on feature extraction: a literature review by Ming-Yue Li, Yu Pan, Yang Lv, He Ma, Ping-Li Sun, Hong-Wen Gao

Subjects: “…digital pathology…”
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Leveraging explainable AI and large-scale datasets for comprehensive classification of renal histologic types by Seung Wan Moon, Jisup Kim, Young Jae Kim, Sung Hyun Kim, Chi Sung An, Kwang Gi Kim, Chan Kwon Jung

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Computational pathology assessments of cardiac stromal remodeling: Clinical correlates and prognostic implications in heart transplantation by Eliot G. Peyster, MD, MSc, Cai Yuan, PhD, Sara Arabyarmohammadi, PhD, Priti Lal, MD, Michael D. Feldman, MD, PhD, Pingfu Fu, PhD, Kenneth B. Margulies, MD, MS, Anant Madabhushi, PhD, FAIMBE, FIEEE, FNAI

Subjects: “…digital pathology…”
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Deep learning helps discriminate between autoimmune hepatitis and primary biliary cholangitis by Alessio Gerussi, Oliver Lester Saldanha, Giorgio Cazzaniga, Damiano Verda, Zunamys I. Carrero, Bastian Engel, Richard Taubert, Francesca Bolis, Laura Cristoferi, Federica Malinverno, Francesca Colapietro, Reha Akpinar, Luca Di Tommaso, Luigi Terracciano, Ana Lleo, Mauro Viganó, Cristina Rigamonti, Daniela Cabibi, Vincenza Calvaruso, Fabio Gibilisco, Nicoló Caldonazzi, Alessandro Valentino, Stefano Ceola, Valentina Canini, Eugenia Nofit, Marco Muselli, Julien Calderaro, Dina Tiniakos, Vincenzo L’Imperio, Fabio Pagni, Nicola Zucchini, Pietro Invernizzi, Marco Carbone, Jakob Nikolas Kather

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HistoNeXt: dual-mechanism feature pyramid network for cell nuclear segmentation and classification by Junxiao Chen, Ruixue Wang, Wei Dong, Hua He, Shiyong Wang

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AutoLDP: An accurate and efficient artificial intelligence-based tool for automatic labeling of digital pathology by Yingnan Zhao, Huifen Ye, Jing Yang, Su Yao, Maohua Lv, Zhihong Chen, Yunrui Ye, Qingru Hu, Cheng Lu, Zaiyi Liu, Ke Zhao, Zhihua Chen

Subjects: “…Digital pathology…”
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Artificial intelligence for quantifying immune infiltrates interacting with stroma in colorectal cancer by Jing Yang, Huifen Ye, Xinjuan Fan, Yajun Li, Xiaomei Wu, Minning Zhao, Qingru Hu, Yunrui Ye, Lin Wu, Zhenhui Li, Xueli Zhang, Changhong Liang, Yingyi Wang, Yao Xu, Qian Li, Su Yao, Dingyun You, Ke Zhao, Zaiyi Liu

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A novel approach to digital characterisation of Tertiary Lymphoid Structures in colorectal cancer by Luis Munoz-Erazo, Luis Munoz-Erazo, Saem Mul Park, Saem Mul Park, Shelly Lin, Shelly Lin, Chun-Jen J. Chen, Chun-Jen J. Chen, Lisa Y. Y. Zhou, Lisa Y. Y. Zhou, Janet L. Rhodes, Janet L. Rhodes, Taesung Jeon, Sonya Fenton, John L. McCall, Roslyn A. Kemp, Roslyn A. Kemp, P. Rod Dunbar, P. Rod Dunbar

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Annotation-free deep learning algorithm trained on hematoxylin & eosin images predicts epithelial-to-mesenchymal transition phenotype and endocrine response in estrogen receptor-po... by Kaimin Hu, Yinan Wu, Yajing Huang, Meiqi Zhou, Yanyan Wang, Xingru Huang

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