Results 211 to 220 of about 33,093 (301)
Soft multiclass feature augmented deep learning to predict tumor origins using cytology or histology whole slide images. [PDF]
Wang CW +5 more
europepmc +1 more source
Depicting the Immunological Landscape of Basal Cell Carcinoma Subtypes
ABSTRACT Background Anti‐PD‐1 response has been associated with higher PD‐1 ligand (PD‐L1) expression levels in different cancer types. Cemiplimab, an anti‐PD‐1 antibody, has been shown to induce a response rate of 31% and 22% in patients with locally advanced basal cell carcinoma (BCC) and metastatic BCC respectively, who have progressed or are ...
Isabella Dommann +9 more
wiley +1 more source
The study introduces the CytoLog performance dashboard application for cytology laboratories featuring selected key performance indicators for management and staff. The application is adaptable to various laboratory settings, enhances engagement and interaction with quality, promotes self‐directed quality improvement, and helps mitigate potential bias ...
István Kovács +7 more
wiley +1 more source
A study of Pap smear abnormalities in asymptomatic women attending a tertiary care hospital. [PDF]
Raghuwanshi NS +4 more
europepmc +1 more source
When Small Cells Matter: Diagnosing Bladder Small Cell Carcinoma on Urine Cytology
Small cell carcinoma of the bladder is rare, aggressive and diagnostically challenging on urine cytology. We report a case detected in urine and confirmed by cell block immunohistochemistry, highlighting the importance of careful assessment and limitations of the Paris System.
Haley Corbin +3 more
wiley +1 more source
Can cytology accurately predict the malignancy of feline mammary gland tumours? [PDF]
Virtanen J.
europepmc +1 more source
A Unified Deep Learning Framework for Instance Segmentation Across Diverse Cytological Stains
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
Comprehensive evaluation of TIR 3B thyroid nodules: Clinical, Ultrasonographical and Cytological features for prediction of malignancy. [PDF]
Barca I +13 more
europepmc +1 more source
This quality assurance project confirms that thyroid FNAC is a reliable tool for assessing the risk of malignancy (ROM), with ROM rates aligning with published data. However, cytology team changes can reveal interobserver variability and shift category distribution and malignancy rates, underlining the need for ongoing quality assurance and training ...
Pauline Kuerten +5 more
wiley +1 more source

