A Deep Learning Approach for Masking Fetal Gender in Ultrasound Images

09/14/2021
by   Amit Borundiya, et al.
0

Ultrasound (US) imaging is highly effective with regards to both cost and versatility in real-time diagnosis; however, determination of fetal gender by US scan in the early stages of pregnancy is also a cause of sex-selective abortion. This work proposes a deep learning object detection approach to accurately mask fetal gender in US images in order to increase the accessibility of the technology. We demonstrate how the YOLOv5L architecture exhibits superior performance relative to other object detection models on this task. Our model achieves 45.8 Positive Per Image rate on our test set. Furthermore, we introduce a bounding box delay rule based on frame-to-frame structural similarity to reduce the false negative rate by 85

READ FULL TEXT

page 4

page 5

research
12/24/2013

Deep learning for class-generic object detection

We investigate the use of deep neural networks for the novel task of cla...
research
11/22/2022

Ultrasound Detection of Subquadricipital Recess Distension

Joint bleeding is a common condition for people with hemophilia and, if ...
research
12/16/2016

SonoNet: Real-Time Detection and Localisation of Fetal Standard Scan Planes in Freehand Ultrasound

Identifying and interpreting fetal standard scan planes during 2D ultras...
research
03/17/2015

3D Object Class Detection in the Wild

Object class detection has been a synonym for 2D bounding box localizati...
research
02/24/2021

Auto-Detection of Tibial Plateau Angle in Canine Radiographs Using a Deep Learning Approach

Stifle joint issues are a major cause of lameness in dogs and it can be ...
research
05/29/2023

Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection

During ultrasonic scanning processes, real-time lesion detection can ass...
research
06/21/2021

Hard hat wearing detection based on head keypoint localization

In recent years, a lot of attention is paid to deep learning methods in ...

Please sign up or login with your details

Forgot password? Click here to reset