[HTML][HTML] Diagnostic performance of artificial intelligence in detecting oral potentially malignant disorders and oral cancer using medical diagnostic imaging: a …
Objective Oral cancer is a widespread global health problem characterised by high mortality
rates, wherein early detection is critical for better survival outcomes and quality of life. While …
rates, wherein early detection is critical for better survival outcomes and quality of life. While …
Automated Detection of Oral Malignant Lesions Using Deep Learning: Scoping Review and Meta‐Analysis
Objective Oral diseases, specifically malignant lesions, are serious global health concerns
requiring early diagnosis for effective treatment. In recent years, deep learning (DL) has …
requiring early diagnosis for effective treatment. In recent years, deep learning (DL) has …
A survival prediction model based on PCA-HSIDA-LSSVM for patients with esophageal squamous cell carcinoma
Y Wang, Y Xia, D Ling, J Sun… - Proceedings of the …, 2023 - journals.sagepub.com
Esophageal squamous cell carcinoma (ESCC) is a type of cancer and has some of the
highest rates of both incidence and mortality globally. Developing accurate models for …
highest rates of both incidence and mortality globally. Developing accurate models for …
An Optimal Hierarchical Approach for Oral Cancer Diagnosis Using Rough Set Theory and an Amended Version of the Competitive Search Algorithm
S Song, X Ren, J He, M Gao, J Wang, B Wang - Diagnostics, 2023 - mdpi.com
Oral cancer is introduced as the uncontrolled cells' growth that causes destruction and
damage to nearby tissues. This occurs when a sore or lump grows in the mouth that does …
damage to nearby tissues. This occurs when a sore or lump grows in the mouth that does …
Advanced Deep Learning-Based Approach for Tooth Detection, and Dental Cavity and Restoration Segmentation in X-Ray Images
In recent years, much research has been focused on dental problem classification,
detection, and segmentation using Deep Convolutional Neural Networks (CNN or DCNN) …
detection, and segmentation using Deep Convolutional Neural Networks (CNN or DCNN) …
Oral Cancer Detection Using Deep Learning Architecture
ARVN Suneetha, M Indhuja… - … , Structures and IoT, 2024 - taylorfrancis.com
Examining deep learning methods to identify oral cancer early is the primary goal. Utilizing
the unique ability of recurrent neural networks (RNNs) to handle sequential input, this …
the unique ability of recurrent neural networks (RNNs) to handle sequential input, this …