Deep learning and machine learning integration of radiomics and transcriptomics predicts response-adapted radiotherapy outcome and radiosensitivity in resectable locally advanced laryngeal carcinoma. [PDF]
Ujjahan S +5 more
europepmc +1 more source
Partial vs Whole Laryngeal Radiotherapy for Clinical Stage T1-2N0M0/Tis Laryngeal Carcinoma.
Treechairusame T +18 more
europepmc +1 more source
Laryngeal Carcinoma Characteristics Associated with Positive Margins and Endoscopic Understaging. [PDF]
Labaš N +4 more
europepmc +1 more source
Evaluating the prognostic value of microbial communities in predicting recurrence of laryngeal carcinoma: a multicenter case-control study. [PDF]
Hsueh CY +13 more
europepmc +1 more source
Enhanced WGAN Model for Diagnosing Laryngeal Carcinoma. [PDF]
Kim S +7 more
europepmc +1 more source
[Retracted] CIP2A, an oncoprotein, is associated with cell proliferation, invasion and migration in laryngeal carcinoma cells. [PDF]
Chen XD +4 more
europepmc +1 more source
Exosomal Serum Biomarkers as Predictors for Laryngeal Carcinoma. [PDF]
Schuster J +7 more
europepmc +1 more source
The Diagnostic Significance of the Tumor Marker CYFRA 21-1 in Patients with Laryngeal Carcinoma. [PDF]
Tokic L +5 more
europepmc +1 more source
A Rare Manifestation of Cutaneous Metastasis from Laryngeal Carcinoma. [PDF]
Ariffin NINM +3 more
europepmc +1 more source
Dysregulated LINC01133 expression in laryngeal carcinoma: Prognostic implications and predicted ceRNA interactome. [PDF]
Razipour M +9 more
europepmc +1 more source

