This study aimed to review the application of natural language processing (NLP) in thyroid-
related conditions and to summarize current challenges and potential future directions. We …

Ultrasound features related to thyroid lesions structure, shape, volume, and margins are
considered to determine cancer risk. Automatic segmentation of the thyroid lesion would …

The speckle noise is an intrinsic artefact present in ultrasound images that masks the
diagnostically important information, thus makes it hard for the radiologists to analyze them …

To extract and generate a valid metabolic pathway from research articles, biologists need
substantial amounts of time to digest unstructured text. Text mining currently plays a central …

As the volume and availability of textual data dramatically increase in the current digital age,
a major challenge is how to properly extract useful information online. A key component of …

Machine Learning (ML) can potentially enhance predictions in real-life domains. This study
presents an evaluation and comparison of different ML methods which can be applied on …

Since labor intensive and time consuming issue, manual curation in metabolic information
extraction currently was replaced by text mining (TM). While TM in metabolic domain has …

An understanding of success factor relationships in the context of business-to-business
where Inter-organizational Relationship (IORs) between organizations is crucial for effective …

About 2 million new scientific papers are published yearly. This leads to difficulties with
extracting information and searching texts. This paper proposes creating “CSAC” annotated …

Many countries are aging societies. Since abilities generally deteriorate with age,
technologies can assist older adults in their daily life. Loss of cognitive status is particularly …