AIMC Topic: Deep Learning

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COVID-19 diagnosis from chest X-ray images using transfer learning: Enhanced performance by debiasing dataloader.

Journal of X-ray science and technology
BACKGROUND: Chest X-ray imaging has been proved as a powerful diagnostic method to detect and diagnose COVID-19 cases due to its easy accessibility, lower cost and rapid imaging time.

Structuring electronic dental records through deep learning for a clinical decision support system.

Health informatics journal
Extracting information from unstructured clinical text is a fundamental and challenging task in medical informatics. Our study aims to construct a natural language processing (NLP) workflow to extract information from Chinese electronic dental record...

Deep learning for intelligent diagnosis in thyroid scintigraphy.

The Journal of international medical research
OBJECTIVE: To construct deep learning (DL) models to improve the accuracy and efficiency of thyroid disease diagnosis by thyroid scintigraphy.

Deep Learning in the Quest for Compound Nomination for Fighting COVID-19.

Current medicinal chemistry
The current COVID-19 pandemic initiated an unprecedented response from clinicians and the scientific community in all relevant biomedical fields. It created an incredible multidimensional data-rich framework in which deep learning proved instrumental...

Effect of grape seed proanthocyanidins on activity of HaCaT cells in mice based on deep learning image processing.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Grape seed proanthocyanidin extract (GSPE) has a certain resistance to contrast light, which makes the boundary of the imaging image unclear.

A Review on Deep Learning Architecture and Methods for MRI Brain Tumour Segmentation.

Current medical imaging
BACKGROUND: The automatic segmentation of brain tumour from MRI medical images is mainly covered in this review. Recently, state-of-the-art performance is provided by deep learning- based approaches in the field of image classification, segmentation,...

Multistain segmentation of renal histology: first steps toward artificial intelligence-augmented digital nephropathology.

Kidney international
Artificial intelligence (AI), and particularly deep learning (DL), are showing great potential in improving pathology diagnostics in many aspects, 1 of which is the segmentation of histology into (diagnostically) relevant compartments. Although most ...