Comparison of medical image classification accuracy among three machine learning methods

A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks

(2018) Rafael Ceschin et al.   NEUROIMAGE

Enhancement of digital radiography image quality using a convolutional neural network

(2017) Yuewen Sun et al.   Journal of X-Ray Science and Technology

Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks

(2017) Bulat Ibragimov et al.   MEDICAL PHYSICS

Deep Convolutional Neural Network-Based Early Automated Detection of Diabetic Retinopathy Using Fundus Image

(2017) Kele Xu et al.   MOLECULES

Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images

(2017) Hongkai Wang et al.   EJNMMI Research

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

(2016) Nima Tajbakhsh et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Stable Atlas-based Mapped Prior (STAMP) machine-learning segmentation for multicenter large-scale MRI data

(2014) Eun Young Kim et al.   MAGNETIC RESONANCE IMAGING