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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GenAI synthesis of histopathological images from Raman imaging for intraoperative tongue squamous cell carcinoma assessment by Bing Yan, Zhining Wen, Lili Xue, Tianyi Wang, Zhichao Liu, Wulin Long, Yi Li, Runyu Jing

“…Independently reviewed by three pathologists, the overall diagnostic accuracy for distinguishing between tumor tissue and normal muscle tissue reaches 86.7%. …”
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Case report: a 3-year follow-up on nodal marginal zone lymphoma coexisting with disseminated Talaromyces marneffei infection in a non-endemic area by Xiping Yu, Houyun Xu, Junjie Zhou, Zhiqiang Zhu, Baizhou Li

“…Over 3 years follow-up, there was no recurrence of T. marneffei infection and the lymphoma remained stable. Clinicians and pathologists should remain vigilant about the possibility of T.marneffei infection in non-prone areas. …”
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Thrombospondin and VEGF-R: Is There a Correlation in Inflammatory Bowel Disease? by Jaroslaw Wejman, Michal Pyzlak, Dariusz Szukiewicz, Dorota Jarosz, Wieslaw Tarnowski, Grzegorz Szewczyk

“…Histological sections were immunostained with antibodies against CD-31, TSP-1, and VEGFR-1 and analyzed by pathologists with the use of computer-assisted morphometrics. …”
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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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Complete Resolution of Pseudomalignant Erosion in a Reflux Gastroesophageal Polyp with Proton Pump Inhibitor by Takahiko Nakajima, Haruo Yagi, Hayato Baba, Takashi Minamisaka, Shigeharu Miwa, Shinichi Hayashi, Takeshi Nishida, Hideki Hatta, Koichi Tsuneyama, Johji Imura

“…Pseudomalignant erosion is a diagnostic pitfall for pathologists in the differential diagnosis of malignant neoplasms. …”
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PlantAIM: A new baseline model integrating global attention and local features for enhanced plant disease identification by Abel Yu Hao Chai, Sue Han Lee, Fei Siang Tay, Hervé Goëau, Pierre Bonnet, Alexis Joly

“…Conventionally, detection has relied on plant pathologists, but recent advances in deep learning, particularly the Vision Transformer (ViT) and Convolutional Neural Network (CNN), have made it feasible for automated plant disease identification. …”
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Out-of-distribution generalization for segmentation of lymph node metastasis in breast cancer by Yiannis Varnava, Kiran Jakate, Richard Garnett, Dimitrios Androutsos, Pascal N. Tyrrell, April Khademi

“…Abstract Pathology provides the definitive diagnosis, and Artificial Intelligence (AI) tools are poised to improve accuracy, inter-rater agreement, and turn-around time (TAT) of pathologists, leading to improved quality of care. A high value clinical application is the grading of Lymph Node Metastasis (LNM) which is used for breast cancer staging and guides treatment decisions. …”
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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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A Pathophysiological Insight into Sepsis and Its Correlation with Postmortem Diagnosis by C. Pomara, I. Riezzo, S. Bello, D. De Carlo, M. Neri, E. Turillazzi

“…The diagnosis of sepsis-related deaths is an illustrative example of the reciprocal value of autopsy both for clinicians and for pathologists. A complete methodological approach, integrating clinical data by means of autopsy and histological and laboratory findings aiming to identify and demonstrate the host response to infectious insults, is mandatory to illuminate the exact cause of death. …”
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Endometrial polyps with bizarre stromal cells: a Benign or a low-grade lesion? by Musen Wang, Fei Gao, Hongkai Zhang, Wenxin Zheng

“…A consensus among two of three consulting expert gynecological pathologists supported a benign endometrial polyp diagnosis; however, one pathologist raised the possibility of adenosarcoma, highlighting the diagnostic dilemma these unique lesions present. …”
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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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Subcutaneous Granulomatous Inflammation due to Basidiobolomycosis: Case Reports of 3 Patients in Buruli Ulcer Endemic Areas in Benin by Luc V. C. Brun, Jean Jacques Roux, Ghislain E. Sopoh, Julia Aguiar, Miriam Eddyani, Wayne M. Meyers, Dirk Stubbe, Marie T. Akele Akpo, Françoise Portaels, Bouke C. de Jong

“…We stress the importance of the early recognition by clinicians and pathologists of this treatable disease, so patients can timely receive antifungal therapy.…”
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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

“…Inconsistency among general pathologists was noticed when evaluating a random sample of the same cases (Fleiss’s kappa value 0.09). …”
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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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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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Characteristics of successful expansion of tumor-infiltrating lymphocytes from colorectal cancer liver metastasis by Jina Baek, Gyuheon Choi, GunHee Lee, Hyun Lee, Gyungyub Gong, Hye Seon Park, Chae-Lyul Lim, Joo Young Kim, Hee Jin Lee

“…Histologic examination including the level of stromal TILs and Klintrup-Mäkinen score, were assessed by pathologists and deep learning-derived spatial analysis. …”
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Quantitative immunohistochemistry analysis of breast Ki67 based on artificial intelligence by Wang Wenhui, Gong Yitang, Chen Bingxian, Guo Hualei, Wang Qiang, Li Jing, Jin Cheng, Gui Kun, Chen Hao

“…However, it is difficult to accurately and quantitatively evaluate the count of positive nucleus during the diagnosis process of pathologists, and the process is time-consuming and labor-intensive. …”
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A deep learning ICDNET architecture for efficient classification of histopathological cancer cells using Gaussian noise images by Hui Zong, Wenlong An, Xin Chen, Zhanhui Yang, Heng Zhou, Xiangchao Liu, Jianchu Lin, Chuanyue Zong

“…The experimental results demonstrate excellent accuracy and the ability to handle limited training samples, highlighting the potential of the ICDNET model to assist pathologists in pathological diagnosis.…”
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