Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network

1 code implementation • 19 Jun 2018 • Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline Knight, Bernhard Kainz, Daniel Rueckert

We propose a new Iterative Transformation Network (ITN) for the automatic detection of standard planes in 3D volumes.

Anatomy Multi-Task Learning

Fast Multiple Landmark Localisation Using a Patch-based Iterative Network

1 code implementation • 18 Jun 2018 • Yuanwei Li, Amir Alansary, Juan J. Cerrolaza, Bishesh Khanal, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline Knight, Bernhard Kainz, Daniel Rueckert

PIN is computationally efficient since the inference stage only selectively samples a small number of patches in an iterative fashion rather than a dense sampling at every location in the volume.

Multi-Task Learning

Attention-Gated Networks for Improving Ultrasound Scan Plane Detection

6 code implementations • 15 Apr 2018 • Jo Schlemper, Ozan Oktay, Liang Chen, Jacqueline Matthew, Caroline Knight, Bernhard Kainz, Ben Glocker, Daniel Rueckert

We show that, when the base network has a high capacity, the incorporated attention mechanism can provide efficient object localisation while improving the overall performance.