Article

An ensemble deep learning model with empirical wavelet transform feature for oral cancer histopathological image classification

2022-11-14

Abstract excerpt

<h4>ABSTRACT</h4> Oral squamous cell carcinoma (OSCC) has become quite prevalent across many countries and poor prognosis is one of the major reasons for the ensuing high mortality rate. It mainly occurs in sites such as tongue, tonsil, oropharynx, gum, floor and other parts of the mouth. For early detection, the widely used approach is biopsy, in which a small portion of the tissue is taken from the mouth and exa...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: fe6bf102-dd8b-5401-901b-7440919a9a75
DOI: 10.1101/2022.11.13.22282266

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

An ensemble deep learning model with empirical wavelet transform feature for oral cancer histopathological image classificationDOI 10.1101/2022.11.13.22282266Read

Early detection of tongue cancer using a convolutional neural network and evaluation of the effectiveness of EfficientNetSemantic proximity Read

ORCHID: A Comprehensive Oral Cancer Histology Image Database for Histopathological Analytics and DiagnosticsSemantic proximity Read

AI-based Analysis of Oral Lesions Using Novel Deep Convolutional Neural Networks for Early Detection of Oral CancerSemantic proximity Read

Artificial Intelligence and Oral Cancer Diagnosis: Current Evidence, Critical Limitations, and the Basic Science Priorities Essential for Improving Diagnostic AccuracySemantic proximity Read

Dual-stage AI system for Pathologist-Free Tumor Detection and subtyping in Oral Squamous Cell CarcinomaSemantic proximity Read

Benchmarking Deep Learning-based Image Retrieval of Oral Tumor HistologySemantic proximity Read

Classifications of Breast Cancer Images by Deep LearningSemantic proximity Read

Use of artificial intelligence in the classification of elementary orallesions from clinical imagesSemantic proximity Read

Assessment of Deep Learning Algorithms to Predict Histopathological Diagnosis of Breast Cancer: First Moroccan Prospective Study on a Private DatasetSemantic proximity Read

Deep Learning-Based Segmentation of Oral Squamous Cell Carcinoma on Routine H&E Histopathology Images: A Single-Center Retrospective StudySemantic proximity Read

SCC-NET: Segmentation of Clinical Cancer image for Head and Neck Squamous Cell CarcinomaSemantic proximity Read

Predicting Invasive Ductal Carcinoma Tissues in Whole Slide Images of Breast Cancer by Using Convolutional Neural Network Model and Multiple Classifiers in Google ColabSemantic proximity Read