Studies

Primary studies

26,293 studies included by 1,022 non-Cochrane dental reviews extracted from full text, one record per study, so a study included by several reviews is counted once. Most are randomized trials; etiology and diagnostic reviews also include observational and accuracy studies. Cochrane reviews and reviews with only their headline outcomes do not list their included studies here yet.

14 studies

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StudyYearReviewsReview outcomes linkedTrial data
Multi-Method Analysis of Histopathological Image for Early Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning and Hybrid Techniques.
Ahmad 2023 · Ahmad Mehran, Irfan Muhammad Abeer, et al. · Cancers
PMID:37958422
20232none statednot extracted yet
A novel lightweight deep convolutional neural network for early detection of oral cancer.
Jubair 2021 · Jubair Fahed, Al-Karadsheh Omar, et al. · Oral diseases
PMID:33636041
20222none statednot extracted yet
Automatic classification and detection of oral cancer in photographic images using deep learning algorithms.
Warin 2021 · Warin Kritsasith, Limprasert Wasit, et al. · Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology
PMID:34358372
20212none statednot extracted yet
A deep learning algorithm for detection of oral cavity squamous cell carcinoma from photographic images: A retrospective study.
Fu 2020 · Fu Qiuyun, Chen Yehansen, et al. · EClinicalMedicine
PMID:33150326
20202none statednot extracted yet
Computer-assisted medical image classification for early diagnosis of oral cancer employing deep learning algorithm.
Jeyaraj 2019 · Jeyaraj Pandia Rajan, Samuel Nadar Edward Rajan · Journal of cancer research and clinical oncology
PMID:30603908
20192none statednot extracted yet
Enhancing oral squamous cell carcinoma detection: a novel approach using improved EfficientNet architecture.
Soni 2024 · Soni Aradhana, Sethy Prabira Kumar, et al. · BMC oral health
PMID:38783295
20241none statednot extracted yet
Exploring the efficacy of various CNN architectures in diagnosing oral cancer from squamous cell carcinoma.
Kulkarni 2024 · Kulkarni Prerna, Sarwe Nidhi, et al. · MethodsX
PMID:39610794
20241none statednot extracted yet
A Deep Learning Framework with an Intermediate Layer Using the Swarm Intelligence Optimizer for Diagnosing Oral Squamous Cell Carcinoma.
Nagarajan 2023 · Nagarajan Bharanidharan, Chakravarthy Sannasi, et al. · Diagnostics (Basel, Switzerland)
PMID:37998597
20231none statednot extracted yet
An Ensemble Deep Neural Network Approach for Oral Cancer Screening
Nanditha 2021 · B R Nanditha, A Geetha Kiran, et al. · International Journal of Online and Biomedical Engineering (iJOE)
DOI:10.3991/ijoe.v17i02.19207
20211none statednot extracted yet
Automatic detection of oral cancer in smartphone-based images using deep learning for early diagnosis.
Lin 2021 · Lin Huiping, Chen Hanshen, et al. · Journal of biomedical optics
PMID:34453419
20211none statednot extracted yet
Analysis and classification of oral tongue squamous cell carcinoma based on Raman spectroscopy and convolutional neural networks
Xia 2020 · Xia Jiabin, Zhu Lianqing, et al. · Journal of Modern Optics
DOI:10.1080/09500340.2020.1742395
20201none statednot extracted yet
Automated Detection and Classification of Oral Lesions Using Deep Learning for Early Detection of Oral Cancer
Welikala 2020 · Welikala Roshan Alex, Remagnino Paolo, et al. · IEEE Access
DOI:10.1109/access.2020.3010180
20201none statednot extracted yet
Deep learning analysis using FDG-PET to predict treatment outcome in patients with oral cavity squamous cell carcinoma.
Fujima 2020 · Fujima Noriyuki, Andreu-Arasa V Carlota, et al. · European radiology
PMID:32524219
20201none statednot extracted yet
Deep convolutional neural networks for tongue squamous cell carcinoma classification using Raman spectroscopy.
Yu 2019 · Yu Mingxin, Yan Hao, et al. · Photodiagnosis and photodynamic therapy
PMID:31082525
20191none statednot extracted yet