Computer‐assisted urine cytology: Faster, cheaper, better?
C Ciaparrone, E Maffei, V L'Imperio, P Pisapia… - …, 2024 - Wiley Online Library
Recent advancements in computer‐assisted diagnosis (CAD) have catalysed significant
progress in pathology, particularly in the realm of urine cytopathology. This review …
progress in pathology, particularly in the realm of urine cytopathology. This review …
Metastatic brain tumors: from development to cutting‐edge treatment
G Tanzhu, L Chen, J Ning, W Xue, C Wang, G Xiao… - MedComm, 2025 - Wiley Online Library
Metastatic brain tumors, also called brain metastasis (BM), represent a challenging
complication of advanced tumors. Tumors that commonly metastasize to the brain include …
complication of advanced tumors. Tumors that commonly metastasize to the brain include …
Efficient, gigapixel-scale, aberration-free whole slide scanner using angular ptychographic imaging with closed-form solution
Whole slide imaging provides a wide field-of-view (FOV) across cross-sections of biopsy or
surgery samples, significantly facilitating pathological analysis and clinical diagnosis. Such …
surgery samples, significantly facilitating pathological analysis and clinical diagnosis. Such …
Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis
Deep learning-assisted digital pathology has demonstrated the potential to profoundly
impact clinical practice, even surpassing human pathologists in performance. However, as …
impact clinical practice, even surpassing human pathologists in performance. However, as …
[HTML][HTML] Artificial intelligence in lung cancer: current applications, future perspectives, and challenges
D Huang, Z Li, T Jiang, C Yang, N Li - Frontiers in Oncology, 2024 - pmc.ncbi.nlm.nih.gov
Artificial intelligence (AI) has significantly impacted various fields, including oncology. This
comprehensive review examines the current applications and future prospects of AI in lung …
comprehensive review examines the current applications and future prospects of AI in lung …
LungPath: artificial intelligence-driven histologic pattern recognition for improved diagnosis of early-stage invasive lung adenocarcinoma
H Huang, Z Yan, B Li, W Lu, P He, L Fan… - Translational Lung …, 2024 - pmc.ncbi.nlm.nih.gov
Background Early-stage invasive lung adenocarcinoma (ADC) characterized by a
predominant micropapillary or solid pattern exhibit an elevated risk of recurrence following …
predominant micropapillary or solid pattern exhibit an elevated risk of recurrence following …
[HTML][HTML] Association of mutation profiles with metastasis in patients with non-small cell lung cancer
Y Li, Z Zheng, L Wang, L Han, Y Du… - Frontiers in …, 2024 - pmc.ncbi.nlm.nih.gov
Objective This study focused on the analysis of the correlation between common gene
mutation types and metastatic sites in NSCLC patients. Methods We retrospectively studied …
mutation types and metastatic sites in NSCLC patients. Methods We retrospectively studied …
[HTML][HTML] Impact of Stain Variation and Color Normalization for Prognostic Predictions in Pathology
In recent years, deep neural networks (DNNs) have demonstrated remarkable performance
in pathology applications, potentially even outperforming expert pathologists due to their …
in pathology applications, potentially even outperforming expert pathologists due to their …
[HTML][HTML] Frontiers in Histopathology–Where to Next?
E Hanlon - pathsoc.org
Histopathology, the microscopic examination of tissues for the diagnosis of disease, has
been a cornerstone of medicine for centuries. 1 Until recent years, abnormal tissue samples …
been a cornerstone of medicine for centuries. 1 Until recent years, abnormal tissue samples …