QuPath for automated analysis of digital images of oral epithelial dysplasia. [PDF]
Belaldavar C, Angadi PV, Mudenagudi U.
europepmc +1 more source
Understanding interobserver variability of pathologists to improve oral epithelial dysplasia grading. [PDF]
Ng GTE +6 more
europepmc +1 more source
Artificial intelligence based vision transformer application for grading histopathological images of oral epithelial dysplasia: a step towards AI-driven diagnosis. [PDF]
Hadilou M +5 more
europepmc +1 more source
Feasibility study of single-image super-resolution scanning system based on deep learning for pathological diagnosis of oral epithelial dysplasia. [PDF]
Liu Z +12 more
europepmc +1 more source
A novel AI-based score for assessing the prognostic value of intra-epithelial lymphocytes in oral epithelial dysplasia. [PDF]
Shephard AJ +4 more
europepmc +1 more source
Immunohistochemical Expression of VEGF and Microvessel Density (CD 34) in Oral Epithelial Dysplasia and Oral Squamous Cell Carcinoma: Original Research. [PDF]
Ilango J +5 more
europepmc +1 more source
An Update on the Use of Artificial Intelligence in Digital Pathology for Oral Epithelial Dysplasia Research. [PDF]
Alajaji SA +4 more
europepmc +1 more source
A fully automated and explainable algorithm for predicting malignant transformation in oral epithelial dysplasia. [PDF]
Shephard AJ +13 more
europepmc +1 more source
OralEpitheliumDB: A Dataset for Oral Epithelial Dysplasia Image Segmentation and Classification. [PDF]
Silva AB +7 more
europepmc +1 more source
Oral epithelial dysplasia detection and grading in oral leukoplakia using deep learning. [PDF]
Peng J +8 more
europepmc +1 more source

