4.5 Article

Diagnosis of gastric lesions through a deep convolutional neural network

Related references

Note: Only part of the references are listed.
Article Gastroenterology & Hepatology

Detecting early gastric cancer: Comparison between the diagnostic ability of convolutional neural networks and endoscopists

Yohei Ikenoyama et al.

Summary: By utilizing a large dataset of endoscopic images, this study found that a CNN had higher sensitivity in detecting early gastric cancer compared to endoscopists, and did so in a shorter amount of time.

DIGESTIVE ENDOSCOPY (2021)

Article Radiology, Nuclear Medicine & Medical Imaging

Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI

Andreas M. Rauschecker et al.

RADIOLOGY (2020)

Editorial Material Gastroenterology & Hepatology

Detecting gastric cancer from video images using convolutional neural networks

Mitsuaki Ishioka et al.

DIGESTIVE ENDOSCOPY (2019)

Article Gastroenterology & Hepatology

Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks

Yoshimasa Horie et al.

GASTROINTESTINAL ENDOSCOPY (2019)

Article Gastroenterology & Hepatology

Computer-aided diagnosis for identifying and delineating early gastric cancers in magnifying narrow-band imaging

Takashi Kanesaka et al.

GASTROINTESTINAL ENDOSCOPY (2018)

Article Multidisciplinary Sciences

Dermatologist-level classification of skin cancer with deep neural networks

Andre Esteva et al.

NATURE (2017)

Article Engineering, Biomedical

Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks

Jinlian Ma et al.

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY (2017)

Article Computer Science, Information Systems

A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound

Karim Lekadir et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017)

Article Engineering, Biomedical

Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology

Harshita Sharma et al.

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2017)

Article Computer Science, Interdisciplinary Applications

Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network

Marios Anthimopoulos et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)

Article Medicine, General & Internal

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

Varun Gulshan et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2016)

Article Gastroenterology & Hepatology

Quantitative Analysis of High-Resolution Microendoscopic Images for Diagnosis of Esophageal Squamous Cell Carcinoma

Dongsuk Shin et al.

CLINICAL GASTROENTEROLOGY AND HEPATOLOGY (2015)

Article Gastroenterology & Hepatology

A Computer System To Be Used With Laser-based Endoscopy for Quantitative Diagnosis of Early Gastric Cancer

Rie Miyaki et al.

JOURNAL OF CLINICAL GASTROENTEROLOGY (2014)

Article Surgery

Medical image analysis: computer-aided diagnosis of gastric cancer invasion on endoscopic images

Keisuke Kubota et al.

SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES (2012)

Review Gastroenterology & Hepatology

Epidemiology of gastric cancer

Katherine D. Crew et al.

WORLD JOURNAL OF GASTROENTEROLOGY (2006)