Deep reinforcement learning (DRL) augments the reinforcement learning framework, which
learns a sequence of actions that maximizes the expected reward, with the representative …

Deep-learning (DL) algorithms are becoming the standard for processing ultrasound (US)
fetal images. A number of survey papers in the field is today available, but most of them are …

Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for
academic and industry researchers and graduate students taking courses on machine …

Ultrasound (US) is a flexible imaging modality used globally as a first-line medical exam
procedure in many different clinical cases. It benefits from the continued evolution of …

Endobronchial intervention is increasingly used as a minimally invasive means for the
treatment of pulmonary diseases. In order to acquire the position of bronchoscopy, vision …

Ultrasound imaging is commonly used to aid in fetal development. It has the advantage of
being real-time, low-cost, non-invasive, and easy to use. However, fetal organ detection is a …

Several reviews have been conducted regarding artificial intelligence (AI) techniques to
improve pregnancy outcomes. But they are not focusing on ultrasound images. This survey …

Abstract 3D ultrasound (US) is widely used for its rich diagnostic information. However, it is
criticized for its limited field of view. 3D freehand US reconstruction is promising in …

Fetal pose estimation in 3D ultrasound (US) involves identifying a set of associated fetal
anatomical landmarks. Its primary objective is to provide comprehensive information about …

Different from handcrafted features, deep neural networks can automatically learn task-
specific features from data. Due to this data-driven nature, they have achieved remarkable …