相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks
Gabriele Piantadosi et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2020)
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps
Kristoffer Wickstrom et al.
MEDICAL IMAGE ANALYSIS (2020)
A deep learning method for delineating early gastric cancer resection margin under chromoendoscopy and white light endoscopy
Ping An et al.
GASTRIC CANCER (2020)
An Efficient and Lightweight Convolutional Neural Network for Remote Sensing Image Scene Classification
Donghang Yu et al.
SENSORS (2020)
Cardiac VFM visualization and analysis based on YOLO deep learning model and modified 2D continuity equation
Zhemin Zhuang et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2020)
A review of the application of deep learning in medical image classification and segmentation
Lei Cai et al.
ANNALS OF TRANSLATIONAL MEDICINE (2020)
Artificial Intelligence-Based Multiclass Classification of Benign or Malignant Mucosal Lesions of the Stomach
Bowei Ma et al.
FRONTIERS IN PHARMACOLOGY (2020)
A deep neural network improves endoscopic detection of early gastric cancer without blind spots
Lianlian Wu et al.
ENDOSCOPY (2019)
Application of artificial intelligence in gastroenterology
Young Joo Yang et al.
WORLD JOURNAL OF GASTROENTEROLOGY (2019)
The practical implementation of artificial intelligence technologies in medicine
Jianxing He et al.
NATURE MEDICINE (2019)
Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study
Huiyan Luo et al.
LANCET ONCOLOGY (2019)
Deep neural network-assisted computed tomography diagnosis of metastatic lymph nodes from gastric cancer
Yuan Gao et al.
CHINESE MEDICAL JOURNAL (2019)
Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images
Toshiaki Hirasawa et al.
GASTRIC CANCER (2018)
Deep learning approach for the detection and quantification of intraretinal cystoid fluid in multivendor optical coherence tomography
Freerk G. Venhuizen et al.
BIOMEDICAL OPTICS EXPRESS (2018)
Deep Learning: A Primer for Radiologists
Gabriel Chartrand et al.
RADIOGRAPHICS (2017)
Machine Learning for Medical Imaging1
Bradley J. Erickson et al.
RADIOGRAPHICS (2017)
Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification
Srdjan Sladojevic et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2016)