Abstract Background and objectives Deep Learning (DL) and Machine Learning (ML) have
brought several breakthroughs to biomedical image analysis by making available more …

Objective: A methodology is introduced for the development of an internal dosimetry
prediction toolkit for nuclear medical pediatric applications. The proposed study exploits …

BACKGROUND: To say data is revolutionising the medical sector would be a vast
understatement. The amount of medical data available today is unprecedented and has the …

This study aimed to compare the commercial dosimetric software Planet® Dose (version 3.1.
1) from DOSIsoft and the open-source toolkit GATE. Dosimetry was performed for six …

There is currently no Pediatric Regulatory Diagnostic Reference Level (DRL) in Cameroon
to standardize protocols in hospitals. France, a European country, has DRL allowing them to …

Purpose The purpose of this study is to create an organ dose database for pediatric
individuals undergoing chest, abdomen/pelvis, and head computed tomography (CT) …

Abstract The International Commission on Radiological Protection (ICRP) developed dose
conversion coefficients (DCC) using effective dose calculated for anthropomorphic …

Animal models are essential in the development of new radiopharmaceuticals in nuclear
medicine, particularly for accurate dose calculation in small animal internal dosimetry. This …

Accurately estimating patient exposure is a fundamental concern when modeling the
radiation risk from medical imaging. Inaccurate estimation techniques produce misleading …

The craniofacial structure is three-dimensional, and for a better visualization of these
structures, Computed Tomography is often employed for diagnoses, even though being a …