Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
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- Type
- article
- Published
- 2018-02-01
- Cited by
- 4,706
- References
- 19
- Access
- Open access
- OpenAlex
- https://openalex.org/W2788633781
Keywords
Biology, Medical diagnosis, Computational biology, Pathology
References
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- Ranibizumab for predominantly classic neovascular age-related macular degeneration: subgroup analysis of first-year ANCHOR results.
- Prevalence of and Risk Factors for Diabetic Macular Edema in the United States
- Epidemiology and etiology of childhood pneumonia
- Locating the optic nerve in a retinal image using the fuzzy convergence of the blood vessels
- Automated diagnosis and image understanding with object extraction, object classification, and inferencing in retinal images
- Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis.
- Detection of blood vessels in retinal images using two-dimensional matched filters.
- Rethinking the Inception Architecture for Computer Vision
- Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
- DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
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- Trends in software engineering
- Comparison of automated and expert human grading of diabetic retinopathy using smartphone-based retinal photography
- Learning from Everyday Images Enables Expert-like Diagnosis of Retinal Diseases.
- Looking Inside and Outside the System: Examining the Factors Influencing Distance Learners Satisfaction in Learning Management System
- AI for medical imaging goes deep
- Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks
- Artificial Intelligence Is Becoming Natural.
- Multilabel multiclass classification of OCT images augmented with age, gender and visual acuity data
- Deep Learning zur Unterstützung der Therapieentscheidung bei intravitrealen Injektionen
- Patient-Centered Mobile Health Data Management Solution for the German Health Care System (The DataBox Project)
- Study and development of a Computer-Aided Diagnosis system for classification of chest x-ray images using convolutional neural networks pre-trained for ImageNet and data augmentation
- Heterogeneous transfer learning
- Efficient Deep Learning-Based Automated Pathology Identification in Retinal Optical Coherence Tomography Images
- GeneCT: a generalizable cancerous status and tissue origin classifier for pan-cancer biopsies
- Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
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