HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach

06/12/2020
by   Kamran Kowsari, et al.
19

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).

READ FULL TEXT

page 2

page 3

page 4

page 12

page 14

page 17

page 18

page 19

research
11/20/2021

Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification

Deep learning models have gained remarkable performance on a variety of ...
research
06/04/2020

Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis

Infectious keratitis is the most common entities of corneal diseases, in...
research
08/22/2020

Emergent symbolic language based deep medical image classification

Modern deep learning systems for medical image classification have demon...
research
07/02/2016

A Distributed Deep Representation Learning Model for Big Image Data Classification

This paper describes an effective and efficient image classification fra...
research
06/11/2020

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...
research
07/02/2022

Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift

Class distribution plays an important role in learning deep classifiers....
research
05/31/2022

Deep learning pipeline for image classification on mobile phones

This article proposes and documents a machine-learning framework and tut...

Please sign up or login with your details

Forgot password? Click here to reset