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Diagnosis and Analysis of Celiac Disease and Environmental Enteropathy on Biopsy Images using Deep Learning Approaches
Celiac Disease (CD) and Environmental Enteropathy (EE) are common causes...
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Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis
Infectious keratitis is the most common entities of corneal diseases, in...
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Emergent symbolic language based deep medical image classification
Modern deep learning systems for medical image classification have demon...
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A Distributed Deep Representation Learning Model for Big Image Data Classification
This paper describes an effective and efficient image classification fra...
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Multi-Instance Multi-Scale CNN for Medical Image Classification
Deep learning for medical image classification faces three major challen...
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Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels
In clinical practice, medical image interpretation often involves multi-...
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A Deep Learning Interpretable Classifier for Diabetic Retinopathy Disease Grading
Deep neural network models have been proven to be very successful in ima...
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HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach
Image classification is central to the big data revolution in medicine. Improved information processing methods for diagnosis and classification of digital medical images have shown to be successful via deep learning approaches. As this field is explored, there are limitations to the performance of traditional supervised classifiers. This paper outlines an approach that is different from the current medical image classification tasks that view the issue as multi-class classification. We performed a hierarchical classification using our Hierarchical Medical Image classification (HMIC) approach. HMIC uses stacks of deep learning models to give particular comprehension at each level of the clinical picture hierarchy. For testing our performance, we use biopsy of the small bowel images that contain three categories in the parent level (Celiac Disease, Environmental Enteropathy, and histologically normal controls). For the child level, Celiac Disease Severity is classified into 4 classes (I, IIIa, IIIb, and IIIC).
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