Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of …

Cancer is associated with significant morbimortality globally. Advances in screening,
diagnosis, management and survivorship were substantial in the last decades, however …

Radiation therapy (RT) is regarded as the primary treatment for cancer in the clinic, aiming to
deliver an accurate dose to the planning target volume (PTV) while protecting the …

Radiotherapy is a mainstay treatment for cancer in clinic. An excellent radiotherapy
treatment plan is always based on a high-quality dose distribution map which is produced by …

This paper surveys the data‐driven dose prediction methods investigated for knowledge‐
based planning (KBP) in the last decade. These methods were classified into two major …

Radiation therapy is a fundamental cancer treatment in the clinic. However, to satisfy the
clinical requirements, radiologists have to iteratively adjust the radiotherapy plan based on …

Radiotherapy is the mainstay treatment for most patients with cancer. During radiotherapy
planning, it is essential to generate a clinically acceptable dose distribution map. In practice …

Background and purpose Accurate calculation of the absorbed dose delivered to the tumor
and normal tissues improves treatment gain factor, which is the major advantage of …

Purpose To investigate the effect of data quality and quantity on the performance of deep
learning (DL) models, for dose prediction of intensity-modulated radiotherapy (IMRT) of …

Despite technological and medical advances, the detection, interpretation, and treatment of
cancer based on imaging data continue to pose significant challenges. These include inter …