DeepAI
Log In Sign Up

Fully Automatic Wound Segmentation with Deep Convolutional Neural Networks

10/12/2020
by   Chuanbo Wang, et al.
0

Acute and chronic wounds have varying etiologies and are an economic burden to healthcare systems around the world. The advanced wound care market is expected to exceed 22 billion by 2024. Wound care professionals rely heavily on images and image documentation for proper diagnosis and treatment. Unfortunately lack of expertise can lead to improper diagnosis of wound etiology and inaccurate wound management and documentation. Fully automatic segmentation of wound areas in natural images is an important part of the diagnosis and care protocol since it is crucial to measure the area of the wound and provide quantitative parameters in the treatment. Various deep learning models have gained success in image analysis including semantic segmentation. Particularly, MobileNetV2 stands out among others due to its lightweight architecture and uncompromised performance. This manuscript proposes a novel convolutional framework based on MobileNetV2 and connected component labelling to segment wound regions from natural images. We build an annotated wound image dataset consisting of 1,109 foot ulcer images from 889 patients to train and test the deep learning models. We demonstrate the effectiveness and mobility of our method by conducting comprehensive experiments and analyses on various segmentation neural networks.

READ FULL TEXT

page 4

page 5

page 6

page 7

01/02/2022

FUSeg: The Foot Ulcer Segmentation Challenge

Acute and chronic wounds with varying etiologies burden the healthcare s...
09/28/2020

Fully Automatic Intervertebral Disc Segmentation Using Multimodal 3D U-Net

Intervertebral discs (IVDs), as small joints lying between adjacent vert...
11/28/2017

DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification

Globally, in 2016, one out of eleven adults suffered from Diabetes Melli...
05/08/2020

Progressive Adversarial Semantic Segmentation

Medical image computing has advanced rapidly with the advent of deep lea...
08/06/2017

Fully Convolutional Networks for Diabetic Foot Ulcer Segmentation

Diabetic Foot Ulcer (DFU) is a major complication of Diabetes, which if ...
04/24/2020

How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images?

Deep learning has achieved a great success in natural image classificati...
04/03/2020

Retinopathy of Prematurity Stage Diagnosis Using Object Segmentation and Convolutional Neural Networks

Retinopathy of Prematurity (ROP) is an eye disorder primarily affecting ...