Results 141 to 150 of about 68,763 (241)
Cell Proliferation, EarlyView.Single‐cell and spatial profiling reveal that lymphovascular space invasion in endometrioid endometrial carcinoma is driven by coordinated interactions among metastatic epithelium, fibroblasts, immune cells, and endothelium. This multicellular network promotes matrix remodelling, angiogenesis, and immune evasion, forming a pro‐metastatic niche that ...
Wendi Guo +7 more
wiley +1 more source
Journal of Cutaneous Pathology, EarlyView.ABSTRACT Introduction Preferentially expressed antigen in melanoma (PRAME) immunohistochemistry helps distinguish non‐acral melanocytic lesions, but few studies have addressed its value in acral lesions. We aimed to identify an optimal PRAME cut‐off score to differentiate acral melanoma (AM) from acral melanocytic nevi (AMN).
Kritsada Phatcharamaneepakorn +4 more
wiley +1 more source
A Unified Deep Learning Framework for Instance Segmentation Across Diverse Cytological Stains
Cytopathology, EarlyView.Transformer‐based unified cytology segmentation across Papanicolaou, Feulgen and AgNOR achieves stain‐invariant performance. Mask2Former maximises boundary precision (AP75) on the combined dataset, enabling one model to replace multiple stain‐specific deployments without accuracy loss while simplifying clinical integration.
Luís Otávio Santos +6 more
wiley +1 more source
Correction to "Representation of Differential Learning Method for Mitosis Detection". [PDF]
J Healthc Engeuropepmc +1 more source
S1 guideline sweat gland carcinoma
JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.Summary The current classification of sweat gland carcinomas is based on histomorphological characteristics and distinguishes between more than 20 entities. Most patients are older, but some subtypes also affect middle‐aged and younger patients. The majority of tumors arise de novo. Sweat gland carcinomas have nonspecific clinical features.
Mirjana Ziemer +19 more
wiley +1 more source
AI‐Assisted Fungal Detection in Dermatopathology: A Study on Accuracy, Efficiency, and Usability
JDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.Summary Background and Objectives AI‐based image analysis is increasingly applied in pathology. Excluding fungal elements in PAS‐stained skin sections is labor‐intensive and well suited for AI assistance. While fungal detection in nails has been studied, skin‐biopsy applications and real‐world benefit remain limited.
Paul Schmidle +12 more
wiley +1 more source
Neuroimmune alterations and nociceptive behavior in oral carcinogenesis in rats
European Journal of Oral Sciences, EarlyView.Abstract Oral cancer pain is a frequent and debilitating symptom associated with tumor progression. Although neuronal mechanisms have been extensively studied, the role of immune and glial cells in the trigeminal nociceptive pathway remains poorly understood.
Joana Maria dos Santos Alves +7 more
wiley +1 more source
Scalable and Efficient Deep Learning-Based Pipeline for Mitotic Detection and Analysis in Pathology Images. [PDF]
Cancers (Basel)Qi X +4 more
europepmc +1 more source
Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features. [PDF]
J Med Imaging (Bellingham), 2014 Wang H +8 more
europepmc +1 more source
The FEBS Journal, EarlyView.DNA damage in the tardigrade Hypsibius exemplaris elicits distinct cellular outcomes depending on replication status. While non‐replicating cells tolerate genotoxic stress, constitutively replicating cells undergo irreversible replication failure upon DNA damage, leading to loss of tissue homeostasis, fat depletion, sterility, and organismal death ...
Gonzalo Quiroga‐Artigas +4 more
wiley +1 more source