Automatic Contour Quality Assurance on CBCT scans for Locally Advanced Cervical Cancer Patients: A comparison study using Machine Learning

<b>Background and purpose</b>: One of the main challenges in external beam radiotherapy treatment of locally advanced cervical cancer patients is dealing with bladder and rectum filling. Organ filling causes inter­fraction motion of the uterus, requiring large treatment planning volumes, or a plan library. Current assessment of tumor position is...

To order or not to order: Predicting customer grocery shopping behaviour using multi-label classification techniques

Research and Objective: In the recent years the online grocery sector experienced an enormous uplift and evolved to a highly competitive business sector. Within this demanding environment, the need for strategic information has become extremely important, as it greatly enhances decision-making processes and the optimisation of the supply chain....

Interpretable Machine Learning for Biomarker Discovery in Imaging Mass Spectrometry Data

Imaging mass spectrometry (IMS) is a multiplexed chemical imaging technique that enables the spatially targeted molecular mapping of biological samples at cellular resolutions. Within a single experiment, IMS can measure the spatial distribution and relative concentration of thousands of distinct molecular species across the surface of a tissue...

SME Credit Scoring Using Social Media Data

Credit analysis is required in a wide variety of decision of a modern economy.<br/>It includes understanding the credit risk of small-medium enterprises (SMEs),<br/>which today is the most significant contributor to the economy of almost every<br/>nation. Creditors usually use credit scoring as a tool to predict the probability of<br/>the SMEs...