Research graph
References from Multi-class semantic segmentation of oral cancer tissues on whole-slide images: A SuperPixel enhanced deep learning approach. Local targets link to admitted publications; unresolved targets remain external evidence.
Global cancer statistics 2022: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries
2024 · External reference
Global epidemiology of oral and oropharyngeal cancer
10.1016/j.oraloncology.2008.06.002 · 2009 · External reference
Early diagnosis of oral cancer: a complex polyhedral problem with a difficult solution
10.3390/cancers15133270 · 2023 · External reference
Oral cancer: deregulated molecular events and their use as biomarkers
10.1016/j.oraloncology.2016.07.013 · 2016 · External reference
Smoking tobacco, oral snuff, and alcohol in the etiology of squamous cell carcinoma of the head and neck: a population-based case-referent study in Sweden
1998 · External reference
Challenges in the early diagnosis of oral cancer, evidence gaps and strategies for improvement: a scoping review of systematic reviews
10.3390/cancers14194967 · 2022 · External reference
Oral potentially malignant disorders: a proposal for terminology and definition with review of literature
10.4103/0973-029x.141322 · 2014 · External reference
IARC perspective on oral cancer prevention
10.1056/nejmsr2210097 · 2022 · External reference
Oral cancer: prevention, early detection, and treatment
2015 · External reference
Oral potentially malignant disorders: a comprehensive review on clinical aspects and management
10.1016/j.oraloncology.2019.104550 · 2020 · External reference
Inter-observer and intra-observer variations in the assessment of epithelial dysplasia in oral lichenoid diseases
10.3390/dermatopathology8020013 · 2021 · External reference
Intra-observer and inter-observer variability in two grading systems for oral epithelial dysplasia: a multi-centre study in India
10.1111/jop.13056 · 2020 · External reference
Interobserver audit of surgical margins in patients with recurrence of oral squamous cell carcinoma– a retrospective study
2023 · External reference
Performance of deep convolutional neural network for classification and detection of oral potentially malignant disorders in photographic images
10.1016/j.ijom.2021.09.001 · 2022 · External reference
Contrast-enhanced computed tomography image assessment of cervical lymph node metastasis in patients with oral cancer by using a deep learning system of artificial intelligence
10.1016/j.oooo.2018.10.002 · 2019 · External reference
Deep learning methods for oral cancer detection using raman spectroscopy
10.1016/j.vibspec.2023.103522 · 2023 · External reference
Tissue artifact segmentation and severity assessment for automatic analysis using WSI
10.1109/access.2023.3250556 · 2023 · External reference
Classifying histopathological images of oral squamous cell carcinoma using deep transfer learning
10.1016/j.heliyon.2023.e13444 · 2023 · External reference
Automated detection of tumor regions from oral histological whole slide images using fully convolutional neural networks
10.1016/j.bspc.2021.102921 · 2021 · External reference
Qupath: open source software for digital pathology image analysis
10.1038/s41598-017-17204-5 · 2017 · External reference
Resnet convolution neural network based hyperspectral imagery classification for accurate cancerous region detection
2019 · External reference
Oral squamous cell carcinoma diagnosis in digitized histological images using convolutional neural network
10.1016/j.jds.2022.08.017 · 2023 · External reference
Influence of data augmentation strategies on the segmentation of oral histological images using fully convolutional neural networks
10.1007/s10278-023-00814-z · 2023 · External reference
Fabnet: feature attention-based network for simultaneous segmentation of microvessels and nerves in routine histology images of oral cancer
10.1007/s00521-019-04516-y · 2020 · External reference
Lymphovascular and perineural invasion are associated with poor prognostic features and outcomes in colorectal cancer: a retrospective cohort study
10.1016/j.ijsu.2016.08.528 · 2017 · External reference
Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer
10.1038/s41746-019-0112-2 · 2019 · External reference
SLIC superpixels compared to state-of-the-art superpixel methods
10.1109/tpami.2012.120 · 2012 · External reference
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology
10.1016/j.media.2019.101544 · 2019 · External reference
Unet++: a nested u-net architecture for medical image segmentation
2018 · External reference
Encoder-decoder with atrous separable convolution for semantic image segmentation
2018 · External reference
Segformer: simple and efficient design for semantic segmentation with transformers
2021 · External reference
Deep residual learning for image recognition
2016 · External reference
Xception: deep learning with depthwise separable convolutions
2017 · External reference
Efficientnet: rethinking model scaling for convolutional neural networks
2019 · External reference
