Results of a modified Delphi consensus on the optimal testing pathway for oesophago-gastric cancer care in the UK by Philippe Taniere, Manuel Rodriguez-Justo, Naureen Starling, Wasat Mansoor, Thomas Bird, Martin Eatock

“…The results were then reviewed by the steering group to agree on any recommendations and conclusions.Results A total of 50 responses were received from consultant oncologists (n=25), pathologists (n=15), specialist oncology pharmacists (n=5) and specialist oncology nurses (n=5). …”
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Impact of stain variation and color normalization for prognostic predictions in pathology by Siyu Lin, Haowen Zhou, Mark Watson, Ramaswamy Govindan, Richard J. Cote, Changhuei Yang

“…Abstract In recent years, deep neural networks (DNNs) have demonstrated remarkable performance in pathology applications, potentially even outperforming expert pathologists due to their ability to learn subtle features from large datasets. …”
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Label credibility correction based on cell morphological differences for cervical cells classification by Wenbo Pang, Yue Qiu, Shu Jin, Huiyan Jiang, Yi Ma

“…However, clinical definitions among different categories of lesion are complex and often characterized by fuzzy boundaries. In addition, pathologists can deduce different criteria for judgment based on The Bethesda System, leading to potential confusion during data labeling. …”
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A Study Comparing Immunohistochemistry, Fluorescence in situ hybridization, GeneXpert® Breast Cancer STRAT4 Assay for Determining Hormone Receptor, Human Epidermal Growth Factor Re... by Rajaa El Aje, Abdellah Naya, Ayoub Khoaja, Younes Zaid, Mounia Oudghiri, Jodi Weidler, Mehdi Karkouri

“…Immunohistochemistry, the most common method for evaluating these prognostic biomarkers, can be impacted by numerous variabilities due to pre-analytical/analytical factors and subjective interpretation by pathologists. The Xpert® Breast Cancer STRAT4, an RT-qPCR based system, can be used to classify invasive breast carcinomas based on the assessment of these four biomarkers; Methods: We evaluated ESR1, PGR, ERBB2, and MKi67 mRNA expression by Xpert Breast Cancer STRAT4 and ER, PR, HER2 and Ki67 by IHC (FISH for HER2 IHC 2+) in 200 formalin-fixed paraffin-embedded (FFPE) tissue blocks with invasive breast cancer, collected from the Pathology Department of Casablanca Ibn Rochd University Hospital; Results: Concordance between Xpert ® Breast Cancer STRAT4 and IHC was 93.5% for ER, 83.51% for PR, 95% for HER2 (92% for IHC+FISH), and 81.20% for Ki67 (excluding intermediate IHC Staining 10 ≤ %IHC <20). …”
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Global challenges facing plant pathology: multidisciplinary approaches to meet the food security and environmental challenges in the mid-twenty-first century by Michael Jeger, Robert Beresford, Clive Bock, Nathan Brown, Adrian Fox, Adrian Newton, Antonio Vicent, Xiangming Xu, Jonathan Yuen

“…A challenge more readily met once plant pathologists again gather physically at international meetings and return to the professional and social encounters that are fertile grounds for developing new ideas and forging collaborative approaches both within plant pathology and with other disciplines. …”
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Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model by Suvashisa Dash, Mohammed Siddique, Satyasis Mishra, Demissie J. Gelmecha, Sunita Satapathy, Davinder Singh Rathee, Ram Sewak Singh

“…Brain tumor detection and classification have become challenging and time-consuming for domain-specific radiologists and pathologists in medical image analysis. So, automatic detection and classification are essential to reduce the time of diagnosis. …”
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An interpretable framework for inter-observer agreement measurements in TILs scoring on histopathological breast images: A proof-of-principle study. by Abdulkerim Capar, Dursun Ali Ekinci, Mucahit Ertano, M Khalid Khan Niazi, Erva Bengu Balaban, Ibrahim Aloglu, Meryem Dogan, Ziyu Su, Fugen Vardar Aker, Metin Nafi Gurcan

“…Both methods were applied to assess inter-observer agreement using a clinical image dataset consisting of 25 images of invasive ductal breast carcinoma tissue, each annotated by four pathologists, serving as a proof-of-principle. Experimental investigations demonstrated that the BWFK method yielded gains of up to 32% compared to the standard Fleiss' Kappa model. …”
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Inverse Relationship Between Leydig Cell Density and Metastatic Potential of Prostatic Adenocarcinoma by W. John Wang, Y. Albert Yeh, Paul Stout, Kang Fan

“…The means of cell counts by four pathologists, expressed as cell/0.78 mm2 were used for analysis. …”
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The changing landscape of antimicrobial resistance and use in South Africa: The need for access to new antibiotics: A position paper by H Finlayson, V Chibabhai, P Jeena, S Kolman, W Lowman, T C Manzini, T Nana, J Nuttall, A Parker, P Skosana, V Ueckermann, A Wise

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Rare Site of an Inflammatory Myofibroblastic Tumor at the Epididymis: A Case Report by Lange A, Dominiak N, Petros FG

“…Patient recovered well with no reoccurrence at this time.Conclusion: Inflammatory myofibroblastic tumors recurrence rate is < 2%; however, some literature suggests higher depending on location and immunohistochemical profile. The expertise of pathologists, utilization of morphology, and immunohistological profile are all crucial in accurate diagnoses of these lesions. …”
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Diagnosis of invasive encapsulated follicular variant papillary thyroid carcinoma by protein-based machine learning by Truong Phan-Xuan Nguyen, Minh-Khang Le, Sittiruk Roytrakul, Shanop Shuangshoti, Nakarin Kitkumthorn, Somboon Keelawat

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Prevalence and clinicopathological Spectrum of Auto-Immune Liver Diseases & Overlap syndrome by Annapoorani Varadarajan, Archana Rastogi, Rakhi Maiwall, Chhagan Bihari, Sherin Thomas, Vikrant Sood, Saggere Muralikrishna Shasthry

“…Clinical, demographic, and laboratory parameters were retrieved. Two pathologists independently reviewed the liver biopsies and reassessed 18 histopathological parameters. …”
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Varying pixel resolution significantly improves deep learning-based carotid plaque histology segmentation by Yurim Lee, Rashid Al Mukaddim, Tenzin Ngawang, Shahriar Salamat, Carol C. Mitchell, Jenna Maybock, Stephanie M. Wilbrand, Robert J. Dempsey, Tomy Varghese

“…To address this, we sampled 1944 regions of interests from 323 whole slide images and drastically varied their pixel resolution from $$1.96\upmu m \times 1.96\upmu m$$ to $$26.5\upmu m \times 26.5\upmu m$$ as we anticipated that varying the pixel resolution of histology images can provide neural networks more ’context’ that pathologists also rely on. We were able to train Mask R-CNN using regions of interests with varied pixel resolution, with a $$7\%$$ increase in pixel accuracy versus training with patches. …”
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Analysis of Risk Factors Associated with the Incidence of Placenta Accreta at an Indonesian Tertiary Hospital by Aisha Grayli Cahyani, Willy Sandhika, Gatut Hardianto

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Ki67 Predicts Progression in Early CIN: Validation of a Multivariate Progression-Risk Model by Arnold-Jan Kruse, Jan P. A. Baak, Emiel A. Janssen, Kjell-Henning Kjellevold, Bent Fianec, Kjell Lovslett, Johan Bergh, Stanley Robboy

“…Furthermore, it was studied whether subjective evaluation of the Ki67 sections by experienced pathologists, who were aware of the prognostic quantitative Ki67 features, could also predict the outcome. …”
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Morphological features of autoimmune gastritis by Ye. A. Losik, L. S. Selivanova, M. Yu. Konkov, T. L. Lapina, A. S. Tertychnyi, V. T. Ivashkin

“…According to guidelines of the Russian Society of Pathologists in all cases multiple biopsies have been taken at esophagogastroduodenoscopy. …”
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Society for Immunotherapy of Cancer: updates and best practices for multiplex immunohistochemistry (IHC) and immunofluorescence (IF) image analysis and data sharing by Ignacio I Wistuba, Michael T Tetzlaff, Carlo B Bifulco, Benjamin Green, Sacha Gnjatic, Scott J Rodig, Joel C Sunshine, Janis M Taube, Keith E Steele, Marlon C Rebelatto, David L Rimm, Ana Lako, Edwin R Parra, Guray Akturk, Michael Angelo, Shirley Greenbaum, Noah F Greenwald, Cyrus V Hedvat, Travis J Hollmann, Kurt A Schalper, Cláudia S Ferreira, Konstanty Korski, Emanuel Schenck, Michael J Surace, Jennifer H Yearley, Jeffrey S Roskes, Margaret Eminizer, Logan L Engle, Daniel Jiménez-Sánchez, Jamie Rodriguez-Canales, Alexander S Szalay

“…The current effort represents a complementary manuscript for mIHC/IF analysis focused on the associated image analysis and data management.Methods The Society for Immunotherapy of Cancer convened a task force of pathologists and laboratory leaders from academic centers as well as experts from pharmaceutical and diagnostic companies to develop best practice guidelines for the quantitative image analysis of mIHC/IF output and data management considerations.Results Best-practice approaches for image acquisition, color deconvolution and spectral unmixing, tissue and cell segmentation, phenotyping, and algorithm verification are reviewed. …”
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A Framework for Early Detection of Acute Lymphoblastic Leukemia and Its Subtypes From Peripheral Blood Smear Images Using Deep Ensemble Learning Technique by Sajida Perveen, Abdullah Alourani, Muhammad Shahbaz, M. Usman Ashraf, Isma Hamid

“…Furthermore, this provides references for pathologists and healthcare providers, aiding them in producing specific guidelines and more informed choices about patient and disease management.…”
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The combination of CDX2 expression status and tumor-infiltrating lymphocyte density as a prognostic factor in adjuvant FOLFOX-treated patients with stage III colorectal cancers by Ji-Ae Lee, Hye Eun Park, Hye-Yeong Jin, Lingyan Jin, Seung Yeon Yoo, Nam-Yun Cho, Jeong Mo Bae, Jung Ho Kim, Gyeong Hoon Kang

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Complement classical and alternative pathway activation contributes to diabetic kidney disease progression: a glomerular proteomics on kidney biopsies by Yang Yang, Ying Zhang, Yuan Li, Xinjin Zhou, Kazuho Honda, Dedong Kang, Muxi Wang, Jing-Hua Yang, Zongping Xia, Yuan Wei, Lu Liu, Ruimin Hu, Takashi Takaki, Guolan Xing

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