Exploring novel deep learning-based models for cancer histopathology image analysis
Histopathological evaluation of tumor specimens has long been essential in diagnosing breast cancer and guiding clinical ...
Armed robbery in Revesby11 天
Deep Learning Models Revolutionize Cancer Image Analysis
Histopathological evaluation of tumour specimens has long been essential in diagnosing breast cancer and guiding clinical ...
EuropaWire13 天
University of Liverpool’s New Infrared Wand Shows Promise in Revolutionizing Oral Cancer ...
A prototype of the Liverpool Diagnostic Infrared Wand (LDIR Wand), developed by the University of Liverpool in collaboration with the Liverpool H ...
JCN Newswire17 天
NEC and Biomy Partner to Develop and Expand AI-Based Analytical Platforms in the Digital ...
By advancing next-generation AI/DL-based pathology analysis platforms and promoting the use of the newly developed pathological biomarkers in clinical settings, NEC and Biomy aim to contribute ...
Cancer Research19 天
Autofluorescence Virtual Staining System for H&E Histology and Multiplex Immunofluorescence ...
In this study, we demonstrate the feasibility of generating virtual stains for hematoxylin and eosin (H&E) and a multiplex immunofluorescence (mIF) immuno-oncology panel (DAPI, PanCK, PD-L1, CD3, and ...
Frontiers1 年
Targeted transcriptomic analysis of pancreatic adenocarcinoma in EUS-FNA samples by ...
Total RNA was extracted from the tumor contained in tissue blocks and paired surgical specimens using a RNeasy Mini Kit ... In concordance with the transcriptomic data, H&E staining showed that ...
Frontiers2 年
Clinical implication of low estrogen receptor (ER-low) expression in breast cancer
The expression of estrogen receptors indicates a biological dependency on estrogen signaling, and notably, therapeutic effects are correlated with ER levels in tumor cells (1). Most guidelines set a ...