- Home
- Publications
- Publication Search
- Publication Details
Title
Videomics: bringing deep learning to diagnostic endoscopy
Authors
Keywords
-
Journal
Current Opinion in Otolaryngology & Head and Neck Surgery
Volume 29, Issue 2, Pages 143-148
Publisher
Ovid Technologies (Wolters Kluwer Health)
Online
2021-02-27
DOI
10.1097/moo.0000000000000697
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Artificial‐intelligence‐based detection of pharyngeal cancer using convolutional neural networks
- (2020) Atsuko Tamashiro et al. Digestive Endoscopy
- Automatic Recognition of Laryngoscopic Images Using a Deep‐Learning Technique
- (2020) Jianjun Ren et al. LARYNGOSCOPE
- Improvement of oral cancer screening quality and reach: The promise of artificial intelligence
- (2020) Ankita Kar et al. JOURNAL OF ORAL PATHOLOGY & MEDICINE
- Diagnosis of pharyngeal cancer on endoscopic video images by Mask region‐based convolutional neural network
- (2020) Mitsuhiro Kono et al. Digestive Endoscopy
- Artificial intelligence system for detecting superficial laryngopharyngeal cancer with high efficiency of deep learning
- (2020) Atsushi Inaba et al. HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK
- Real‐time pharyngeal cancer detection utilizing artificial intelligence: Journey from the proof of concept to the clinical use
- (2020) Seiichiro Abe et al. Digestive Endoscopy
- Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets
- (2020) Stephanie A. Harmon et al. Nature Communications
- A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation
- (2019) Max-Heinrich Laves et al. International Journal of Computer Assisted Radiology and Surgery
- Randomised controlled trial of WISENSE, a real-time quality improving system for monitoring blind spots during esophagogastroduodenoscopy
- (2019) Lianlian Wu et al. GUT
- A deep neural network improves endoscopic detection of early gastric cancer without blind spots
- (2019) Lianlian Wu et al. ENDOSCOPY
- Convolutional neural network for the diagnosis of early gastric cancer based on magnifying narrow band imaging
- (2019) Lan Li et al. Gastric Cancer
- Impact of real-time automatic quality control system on colorectal polyp and adenoma detection: a prospective randomized controlled study (with video)
- (2019) Jing-Ran Su et al. GASTROINTESTINAL ENDOSCOPY
- A Lesion-Based Convolutional Neural Network Improves Endoscopic Detection and Depth Prediction of Early Gastric Cancer
- (2019) Hong Jin Yoon et al. Journal of Clinical Medicine
- Convolutional Neural Network for Differentiating Gastric Cancer from Gastritis Using Magnified Endoscopy with Narrow Band Imaging
- (2019) Yusuke Horiuchi et al. DIGESTIVE DISEASES AND SCIENCES
- Computer-aided diagnosis of laryngeal cancer via deep learning based on laryngoscopic images
- (2019) Hao Xiong et al. EBioMedicine
- Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images
- (2018) Toshiaki Hirasawa et al. Gastric Cancer
- Detecting oropharyngeal carcinoma using multispectral, narrow-band imaging and machine learning
- (2018) Shamik Mascharak et al. LARYNGOSCOPE
- Exploiting the potential of unlabeled endoscopic video data with self-supervised learning
- (2018) Tobias Ross et al. International Journal of Computer Assisted Radiology and Surgery
- MySurgeryRisk and Machine Learning
- (2018) Lauren Gordon et al. ANNALS OF SURGERY
- Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks
- (2018) Yoshimasa Horie et al. GASTROINTESTINAL ENDOSCOPY
- Automatic classification of dual-modalilty, smartphone-based oral dysplasia and malignancy images using deep learning
- (2018) Bofan Song et al. Biomedical Optics Express
- Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
- (2018) Pranav Rajpurkar et al. PLOS MEDICINE
- Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
- (2017) Babak Ehteshami Bejnordi et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- The diagnostic value of narrow band imaging in different oral and oropharyngeal subsites
- (2016) Cesare Piazza et al. EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY
- Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
- (2016) Varun Gulshan et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Laryngeal Tumor Detection and Classification in Endoscopic Video
- (2016) Corina Barbalata et al. IEEE Journal of Biomedical and Health Informatics
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Automatic recognizing of vocal fold disorders from glottis images
- (2014) Chang-Chiun Huang et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE
- Automatic small bowel tumor diagnosis by using multi-scale wavelet-based analysis in wireless capsule endoscopy images
- (2012) Daniel C Barbosa et al. Biomedical Engineering Online
- Value of narrow band imaging endoscopy in early mucosal head and neck cancer
- (2012) Yen-Chun Lin et al. HEAD AND NECK-JOURNAL FOR THE SCIENCES AND SPECIALTIES OF THE HEAD AND NECK
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now