AIMC Topic: Mouth Neoplasms

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Oral cancer detection via Vanilla CNN optimized by improved artificial protozoa optimizer.

Scientific reports Aug 9, 2025
In this study, we propose a new method for oral cancer detection using a modified Vanilla Convolutional Neural Network (CNN) architecture with incorporated batch normalization, dropout regularization, and a customized design structure for the convolu...
ROC Curve Image Processing, Computer-Assisted Mouth Neoplasms Humans Neural Networks, Computer Algorithms
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A tailored deep learning approach for early detection of oral cancer using a 19-layer CNN on clinical lip and tongue images.

Scientific reports Jul 4, 2025
Early and accurate detection of oral cancer plays a pivotal role in improving patient outcomes. This research introduces a custom-designed, 19-layer convolutional neural network (CNN) for the automated diagnosis of oral cancer using clinical images o...
Deep Learning Image Processing, Computer-Assisted Early Detection of Cancer Humans Neural Networks, Computer Lip Mouth Neoplasms Tongue Neoplasms Tongue
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CLASEG: advanced multiclassification and segmentation for differential diagnosis of oral lesions using deep learning.

Scientific reports Jul 2, 2025
Oral cancer has a high mortality rate primarily due to delayed diagnoses, highlighting the need for early detection of oral lesions. This study presents a novel deep learning framework for multi-class classification-based segmentation, enabling accur...
Deep Learning Image Processing, Computer-Assisted Diagnosis, Differential Humans Mouth Neoplasms
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Determination of the oral carcinoma and sarcoma in contrast enhanced CT images using deep convolutional neural networks.

Scientific reports Jul 1, 2025
Oral cancer is a hazardous disease and a major cause of morbidity and mortality worldwide. The purpose of this study was to develop the deep convolutional neural networks (CNN)-based multiclass classification and object detection models for distingui...
Mouth Neoplasms Sarcoma Humans Neural Networks, Computer Tomography, X-Ray Computed Deep Learning Convolutional Neural Networks Contrast Media
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Impact of mHealth on Postoperative Quality of Life, Self-Management, and Dysfunction in Patients With Oral and Maxillofacial Tumors: Nonrandomized Controlled Trial.

JMIR mHealth and uHealth Jun 25, 2025
BACKGROUND: With a focus on postoperative dysfunctions that may occur after maxillofacial tumor resection and the difficulties faced during home rehabilitation, we developed a mobile health app based on nurse-patient cooperation. The app extends reha...
Humans Female Aged Adult Mobile Applications Self-Management Quality of Life Male Mouth Neoplasms China Middle Aged Telemedicine Surveys and Questionnaires
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Deep learning-based electrical impedance spectroscopy analysis for malignant and potentially malignant oral disorder detection.

Scientific reports Jun 3, 2025
Electrical impedance spectroscopy (EIS) is a powerful tool used to investigate the properties of materials and biological tissues. This study presents one of the first applications of EIS for the detection and classification of oral potentially malig...
Animals Swine Deep Learning Humans Mouth Neoplasms Neural Networks, Computer Dielectric Spectroscopy Female Mouth Mucosa
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Diagnostic Adjuncts and Biopsy Techniques for Oral Potentially Malignant Disorders and Oral Cavity Squamous Cell Carcinoma.

Dental clinics of North America Apr 25, 2025
Diagnostic adjuncts for oral potentially malignant disorders such as leukoplakia or erythroplakia can aid the clinician in triaging abnormal lesions and facilitate both biopsy site selection and surgical management. No adjuncts replace gold standard ...
Precancerous Conditions Leukoplakia, Oral Erythroplasia Biopsy Mouth Neoplasms Humans Carcinoma, Squamous Cell Microscopy, Confocal
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Artificial intelligence based vision transformer application for grading histopathological images of oral epithelial dysplasia: a step towards AI-driven diagnosis.

BMC cancer Apr 25, 2025
BACKGROUND: This study aimed to classify dysplastic and healthy oral epithelial histopathological images, according to WHO and binary grading systems, using the Vision Transformer (ViT) deep learning algorithm-a state-of-the-art Artificial Intelligen...
Image Processing, Computer-Assisted Artificial Intelligence Neoplasm Grading Humans Image Interpretation, Computer-Assisted Algorithms Mouth Neoplasms Neural Networks, Computer Precancerous Conditions Deep Learning Mouth Mucosa
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Intelligent Diagnosis of Cervical Lymph Node Metastasis Using a CNN Model.

Journal of dental research Apr 24, 2025
Lymph node (LN) metastasis is a prevalent cause of recurrence in oral squamous cell carcinoma (OSCC). However, accurately identifying metastatic LNs (LNs+) remains challenging. This prospective clinical study aims to test the effectiveness of our con...
Neck Lymphatic Metastasis Mouth Neoplasms Prospective Studies Male Humans Tomography, X-Ray Computed Middle Aged Neural Networks, Computer Female Lymph Nodes Carcinoma, Squamous Cell Aged Adult
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Pathogenomic fingerprinting to identify associations between tumor morphology and epigenetic states.

European journal of cancer (Oxford, England : 1990) Apr 14, 2025
INTRODUCTION: Measuring the chromatin state of a tumor provides a powerful map of its epigenetic commitments; however, as these are generally bulk measurements, it has not yet been possible to connect changes in chromatin accessibility to the patholo...
Humans Carcinoma, Squamous Cell Tumor Microenvironment Mouth Neoplasms Chromatin Epigenomics Squamous Cell Carcinoma of Head and Neck Lymphocytes, Tumor-Infiltrating Biomarkers, Tumor Epigenesis, Genetic
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