Weakly Supervised Localisation for Fetal Ultrasound Images

2 Aug 2018Nicolas ToussaintBishesh KhanalMatthew SinclairAlberto GomezEmily SkeltonJacqueline MatthewJulia A. Schnabel

This paper addresses the task of detecting and localising fetal anatomical regions in 2D ultrasound images, where only image-level labels are present at training, i.e. without any localisation or segmentation information. We examine the use of convolutional neural network architectures coupled with soft proposal layers... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet