DeepAI AI Chat
Log In Sign Up

Segmentation of kidney stones in endoscopic video feeds

04/29/2022
by   Zachary A Stoebner, et al.
0

Image segmentation has been increasingly applied in medical settings as recent developments have skyrocketed the potential applications of deep learning. Urology, specifically, is one field of medicine that is primed for the adoption of a real-time image segmentation system with the long-term aim of automating endoscopic stone treatment. In this project, we explored supervised deep learning models to annotate kidney stones in surgical endoscopic video feeds. In this paper, we describe how we built a dataset from the raw videos and how we developed a pipeline to automate as much of the process as possible. For the segmentation task, we adapted and analyzed three baseline deep learning models – U-Net, U-Net++, and DenseNet – to predict annotations on the frames of the endoscopic videos with the highest accuracy above 90%. To show clinical potential for real-time use, we also confirmed that our best trained model can accurately annotate new videos at 30 frames per second. Our results demonstrate that the proposed method justifies continued development and study of image segmentation to annotate ureteroscopic video feeds.

READ FULL TEXT

page 2

page 5

page 6

11/02/2020

U-Net and its variants for medical image segmentation: theory and applications

U-net is an image segmentation technique developed primarily for medical...
06/30/2020

Hand-drawn Symbol Recognition of Surgical Flowsheet Graphs with Deep Image Segmentation

Perioperative data are essential to investigating the causes of adverse ...
10/14/2019

FireNet: Real-time Segmentation of Fire Perimeter from Aerial Video

In this paper, we share our approach to real-time segmentation of fire p...
04/16/2019

Is deep learning a good choice for image segmentation?

Deep learning works as a discrete non-linear mapping function and has ac...
08/10/2022

Towards Automating Retinoscopy for Refractive Error Diagnosis

Refractive error is the most common eye disorder and is the key cause be...
11/15/2020

Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning

Computer-aided detection, localisation, and segmentation methods can hel...
01/25/2021

Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative Study

Medical imaging has been employed to support medical diagnosis and treat...