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Machine learning: applications of artificial intelligence to imaging and diagnosis

https://doi.org/10.1007/s12551-018-0449-9
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1 of 29 checkable references need attention · checked 2026-07-26

At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.

1 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

References needing attention

does not resolve to a known work10.1109/CVPRW.2009.5206848
The 28 checked references that resolve
resolves10.1093/bioinformatics/btx180
Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification
resolves10.1371/journal.pbio.1002340
Microscopy Image Browser: A Platform for Segmentation and Analysis of Multidimensional Datasets
resolves10.1007/978-3-7908-2604-3_16
Large-Scale Machine Learning with Stochastic Gradient Descent
resolves10.1007/BF00058655
Bagging predictors
resolves10.1001/jama.2017.7797
Unintended Consequences of Machine Learning in Medicine
resolves10.1145/2783258.2788613
Intelligible Models for HealthCare
resolves10.1148/rg.2017170077
Deep Learning: A Primer for Radiologists
resolves10.1001/jama.2017.14585
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
resolves10.1038/nature21056
Dermatologist-level classification of skin cancer with deep neural networks
resolves10.1016/j.patrec.2005.10.010
An introduction to ROC analysis
resolves10.1001/jama.2016.17216
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
resolves10.1145/1656274.1656278
The WEKA data mining software
resolves10.1007/978-0-387-84858-7
The Elements of Statistical Learning
resolves10.1067/mod.2000.109031
The Royal London Space Planning: An integration of space analysis and treatment planning
resolves10.1016/j.protcy.2014.09.007
First Steps Towards an Intelligent Laser Welding Architecture Using Deep Neural Networks and Reinforcement Learning
resolves10.1007/978-3-642-35289-8
Neural Networks: Tricks of the Trade
resolves10.1038/srep26286
Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis
resolves10.1016/j.media.2017.07.005
A survey on deep learning in medical image analysis
resolves10.1016/j.jaad.2017.08.016
Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images
resolves10.1109/TKDE.2009.191
A Survey on Transfer Learning
resolves10.1038/323533a0
Learning representations by back-propagating errors
resolves10.1007/s11263-015-0816-y
ImageNet Large Scale Visual Recognition Challenge
resolves10.1038/nmeth.2019
Fiji: an open-source platform for biological-image analysis
resolves10.1038/nature24270
Mastering the game of Go without human knowledge
resolves10.5201/ipol.2015.35
A Review of Classic Edge Detectors
resolves10.1214/12-AOS1000
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
resolves10.1186/s40679-015-0010-x
Machine learning as a tool for classifying electron tomographic reconstructions
resolves10.1109/CVPR.2016.308
Rethinking the Inception Architecture for Computer Vision
The 1 reference without a DOI — listed, not checked
no DOI — not checkedParker DB (1985) Learning-logic: casting the cortex of the human brain in silicon Technical report Tr-47, Centre for computational research in economics and management science. MIT, Cambridge
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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