External validation of deep learning algorithms for radiologic diagnosis: a systematic review
Purpose To assess generalizability of published deep learning (DL) algorithms for radiologic
diagnosis. Materials and Methods In this systematic review, the PubMed database was …
diagnosis. Materials and Methods In this systematic review, the PubMed database was …
A scoping review of transfer learning research on medical image analysis using ImageNet
Objective Employing transfer learning (TL) with convolutional neural networks (CNNs), well-
trained on non-medical ImageNet dataset, has shown promising results for medical image …
trained on non-medical ImageNet dataset, has shown promising results for medical image …
An overview of artificial intelligence in diabetic retinopathy and other ocular diseases
Artificial intelligence (AI), also known as machine intelligence, is a branch of science that
empowers machines using human intelligence. AI refers to the technology of rendering …
empowers machines using human intelligence. AI refers to the technology of rendering …
Artificial intelligence in ultrasound
YT Shen, L Chen, WW Yue, HX Xu - European Journal of Radiology, 2021 - Elsevier
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Elsevier logo Journals & Books Search RegisterSign in View PDF Download full issue …
Elsevier logo Journals & Books Search RegisterSign in View PDF Download full issue …
Automated thyroid nodule detection from ultrasound imaging using deep convolutional neural networks
Thyroid cancer is the most common endocrine cancer and its incidence has continuously
increased worldwide. In this paper, we focus on the challenging problem of nodule detection …
increased worldwide. In this paper, we focus on the challenging problem of nodule detection …
Ultrasound image-based diagnosis of malignant thyroid nodule using artificial intelligence
Computer-aided diagnosis systems have been developed to assist doctors in diagnosing
thyroid nodules to reduce errors made by traditional diagnosis methods, which are mainly …
thyroid nodules to reduce errors made by traditional diagnosis methods, which are mainly …
Machine intelligence in non-invasive endocrine cancer diagnostics
NM Thomasian, IR Kamel, HX Bai - Nature Reviews Endocrinology, 2022 - nature.com
Artificial intelligence (AI) has illuminated a clear path towards an evolving health-care
system replete with enhanced precision and computing capabilities. Medical imaging …
system replete with enhanced precision and computing capabilities. Medical imaging …
Artificial intelligence-based thyroid nodule classification using information from spatial and frequency domains
Image-based computer-aided diagnosis (CAD) systems have been developed to assist
doctors in the diagnosis of thyroid cancer using ultrasound thyroid images. However, the …
doctors in the diagnosis of thyroid cancer using ultrasound thyroid images. However, the …
An image classification deep-learning algorithm for shrapnel detection from ultrasound images
Ultrasound imaging is essential for non-invasively diagnosing injuries where advanced
diagnostics may not be possible. However, image interpretation remains a challenge as …
diagnostics may not be possible. However, image interpretation remains a challenge as …
[HTML][HTML] Ai in thyroid cancer diagnosis: Techniques, trends, and future directions
Artificial intelligence (AI) has significantly impacted thyroid cancer diagnosis in recent years,
offering advanced tools and methodologies that promise to revolutionize patient outcomes …
offering advanced tools and methodologies that promise to revolutionize patient outcomes …