Research graph
References from Deep learning-based differential diagnosis of odontogenic keratocyst and dentigerous cyst in haematoxylin and eosin-stained whole slide images. Local targets link to admitted publications; unresolved targets remain external evidence.
Epidemiology, treatment, and recurrence of odontogenic and non-odontogenic cysts in South Sulawesi, Indonesia: a 6-year retrospective study
10.4317/jced.59309 · 2022 · External reference
Deep learning for automated detection of cyst and tumors of the jaw in panoramic radiographs
10.3390/jcm9061839 · 2020 · External reference
Maxillary odontogenic keratocyst
10.1093/jscr/rjac078 · 2022 · External reference
Digital pathology-based artificial intelligence models for differential diagnosis and prognosis of sporadic odontogenic keratocysts
10.1038/s41368-024-00287-y · 2024 · External reference
Advances in diagnosis and treatment of basal cell carcinoma
10.1097/scs.0000000000009959 · 2024 · External reference
Dentigerous cyst: enucleation or marsupialization? (a case report)
2021 · External reference
Management of a dentigerous cyst; a ten-year clinicopathological study
10.1186/s12903-024-04607-w · 2024 · External reference
Diagnosing the most common odontogenic cystic and osseous lesions of the jaws for the practicing pathologist
10.1038/modpathol.2016.191 · 2017 · External reference
Transforming diagnostics: a comprehensive review of advances in digital pathology
2024 · External reference
Whole slide imaging (WSI) in pathology: current perspectives and future directions
10.1007/s10278-020-00351-z · 2020 · External reference
Introduction to digital image analysis in whole-slide imaging: a white paper from the digital pathology association
2019 · External reference
Building automation pipeline for diagnostic classification of sporadic odontogenic keratocysts and non-keratocysts using whole-slide images
10.3390/diagnostics13213384 · 2023 · External reference
Deep learning-based microscopic diagnosis of odontogenic keratocysts and non-keratocysts in haematoxylin and eosin-stained incisional biopsies
10.3390/diagnostics11122184 · 2021 · External reference
Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts
10.1016/s2589-7500(22)00210-2 · 2023 · External reference
Deep learning for whole slide image analysis: an overview
10.3389/fmed.2019.00264 · 2019 · External reference
Deep learning-based classification of hepatocellular nodular lesions on whole-slide histopathologic images
10.1053/j.gastro.2022.02.025 · 2022 · External reference
Deep learning radiopathomics based on preoperative US images and biopsy whole slide images can distinguish between luminal and non-luminal tumors in early-stage breast cancers
10.1016/j.ebiom.2023.104706 · 2023 · External reference
Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images
10.1038/s41598-022-19112-9 · 2022 · External reference
Deep learning approach to classify cutaneous melanoma in a whole slide image
10.3390/cancers15061907 · 2023 · External reference
Deep learning on multimodal chemical and whole slide imaging data for predicting prostate cancer directly from tissue images
10.1021/jasms.2c00254 · 2023 · External reference
Prediction of recurrence risk in endometrial cancer with multimodal deep learning
10.1038/s41591-024-02993-w · 2024 · External reference
