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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Interobserver variability in diagnosing thyroid fine-needle aspiration cytology using the 2023 Bethesda system for reporting thyroid cytopathology by Pratima Manohar Pattar, Sameera N Patel, Girija

“…Previous archived slides of thyroid FNA cytology were examined by three trained pathologists in a double-blinded fashion and were reclassified according to the 2023 TBSRTC. …”
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Retrospective Exploration of Botulinum Toxin Injection for Pharyngoesophageal Segment Dysfunction Post‐laryngectomy by Ruby J. Kazemi, Andrew D.P. Prince, Keith A. Casper, Matthew E. Spector, Joshua D. Smith, Mark E.P. Prince

“…Methods Pre‐ and post‐injection outcomes were evaluated using chart review, and the severity of symptoms was recorded based on the subjective assessment by the patient, speech language pathologists, and the treating surgeon. Results Forty‐three patients were treated for PE dysfunction with botulinum toxin A injection. …”
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Mucosal melanoma of hard palate by Zahed Ali Qamer, Monika Maharjan, Kranthi Kumar Jandrasupalli, Bommisetty Lokesh, Amit Tyagi, Ravi Hari Phulware

“…Additionally, we discuss the importance of a multidisciplinary approach involving dermatologists, otolaryngologists, oncologists, and pathologists in diagnosing and managing this condition. …”
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A case of pulmonary ALK-positive histiocytosis combined with Birt-Hogg-Dubé syndrome carrying an EML4::ALK gene fusion: a case report and literature review by Shuzhe Yang, Zhongyuan Bai, Qi Zhao, Yajing Wang, Yanfeng Xi

“…It is essential for pathologists to recognize the presence of these two diseases and understand the associated histomorphologic, immunohistochemical, and cytogenetic features to enable an accurate diagnosis and differential diagnosis.…”
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RETARDATION OF VISUAL PERCEPTION AS A CRITERION FOR EARLY DETECTION OF DYSLEXIA by Olga М. Moshkova

“…Proposed diagnostic methods can be used by speech therapists or speech-language pathologists of general education institutions for early detection and warning of the reading skills defect.…”
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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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Mi-DETR: For Mitosis Detection From Breast Histopathology Images an Improved DETR by Fatma Betul Kara Ardac, Pakize Erdogmus

“…Manual detection of mitosis by pathologists is a lengthy and challenging process. With advancements in deep learning architectures, numerous automatic mitotic detection methods have been proposed. …”
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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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Breast cancer survival prediction using an automated mitosis detection pipeline by Nikolas Stathonikos, Marc Aubreville, Sjoerd deVries, Frauke Wilm, Christof A Bertram, Mitko Veta, Paul J vanDiest

“…Considering the potential of AI to improve reproducibility of MC between pathologists, we undertook the next validation step by evaluating the prognostic value of a fully automatic method to detect and count mitoses on whole slide images using a deep learning model. …”
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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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AI-algorithm training and validation for identification of endometrial CD138+ cells in infertility-associated conditions; polycystic ovary syndrome (PCOS) and recurrent implantatio... by Seungbaek Lee, Riikka K. Arffman, Elina K. Komsi, Outi Lindgren, Janette A. Kemppainen, Hanna Metsola, Henna-Riikka Rossi, Anne Ahtikoski, Keiu Kask, Merli Saare, Andres Salumets, Terhi T. Piltonen

“…The training and performance of the AI model were validated by three experienced pathologists. We collected 193 endometrial tissues from healthy controls (n = 73), women with PCOS (n = 91), and RIF patients (n = 29) and compared the CD138+ cell percentages based on cycle phases, ovulation status, and endometrial receptivity utilizing the AI model. …”
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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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Evaluation of the precision and accuracy in the classification of breast histopathology images using the MobileNetV3 model by Kenneth DeVoe, Gary Takahashi, Ebrahim Tarshizi, Allan Sacker

“…Computer vision models have been proposed to assist human pathologists in classification tasks such as these. Using MobileNetV3, a convolutional architecture designed to achieve high accuracy with a compact parameter footprint, we attempted to classify breast cancer images in the BreakHis_v1 breast pathology dataset to determine the performance of this model out-of-the-box. …”
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