# Improving the Efficacy of ACR TI-RADS Through Deep Learning-Based Descriptor Augmentation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/improving-the-efficacy-of-acr-ti-rads-through-deep-learning-based-descriptor/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Lev Barinov,Ajit Jairaj,William D. Middleton,D. Michael,Beland,Jonathan Kirsch,Ross W. Filice,Jordi L. Reverter,Iñaki Argüelles,Edward G. Grant |
| Citations | 18 |
| DOI | 10.1007/s10278-023-00884-z |
| Fields | Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://pmc.ncbi.nlm.nih.gov/articles/PMC10584788/pdf/10278_2023_Article_884.pdf |
| OpenAlex ID | https://openalex.org/W4385800428 |
| PMID | 37580483 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Iñaki Argüelles](https://scholariq.org/researchers/inaki-arguelles/)

## Paper primary topic

- [Thyroid Cancer Diagnosis and Treatment](https://scholariq.org/topics/thyroid-cancer-diagnosis-and-treatment/)

## Paper topics

- [Thyroid Cancer Diagnosis and Treatment](https://scholariq.org/topics/thyroid-cancer-diagnosis-and-treatment/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.