Cardiovascular risk stratification in diabetic retinopathy via atherosclerotic pathway in COVID-19/non-COVID-19 frameworks using artificial intelligence paradigm: a …
Diabetes is one of the main causes of the rising cases of blindness in adults. This
microvascular complication of diabetes is termed diabetic retinopathy (DR) and is …
microvascular complication of diabetes is termed diabetic retinopathy (DR) and is …
Performance analysis of machine learning based optimized feature selection approaches for breast cancer diagnosis
Healthcare systems around the world are facing huge challenges in responding to trends of
the rise of chronic diseases. The objective of our research study is the adaptation of Data …
the rise of chronic diseases. The objective of our research study is the adaptation of Data …
Recent advances in machine learning applied to ultrasound imaging
M Micucci, A Iula - Electronics, 2022 - mdpi.com
Machine learning (ML) methods are pervading an increasing number of fields of application
because of their capacity to effectively solve a wide variety of challenging problems. The …
because of their capacity to effectively solve a wide variety of challenging problems. The …
A novel negative-transfer-resistant fuzzy clustering model with a shared cross-domain transfer latent space and its application to brain CT image segmentation
Traditional clustering algorithms for medical image segmentation can only achieve
satisfactory clustering performance under relatively ideal conditions, in which there is …
satisfactory clustering performance under relatively ideal conditions, in which there is …
Comparison study of radiomics and deep learning-based methods for thyroid nodules classification using ultrasound images
Y Wang, W Yue, X Li, S Liu, L Guo, H Xu, H Zhang… - Ieee …, 2020 - ieeexplore.ieee.org
Thyroid nodules have a high prevalence and a small percentage is malignant. Many non-
invasive methods have been developed with the help of the Internet of Things to improve the …
invasive methods have been developed with the help of the Internet of Things to improve the …
Effective voting ensemble of homogenous ensembling with multiple attribute-selection approaches for improved identification of thyroid disorder
Thyroid disease is characterized by abnormal development of glandular tissue on the
periphery of the thyroid gland. Thyroid disease occurs when this gland produces an …
periphery of the thyroid gland. Thyroid disease occurs when this gland produces an …
CacheTrack-YOLO: Real-time detection and tracking for thyroid nodules and surrounding tissues in ultrasound videos
X Wu, G Tan, N Zhu, Z Chen, Y Yang… - IEEE journal of …, 2021 - ieeexplore.ieee.org
To accurately detect and track the thyroid nodules in a video is a crucial step in the thyroid
screening for identification of benign and malignant nodules in computer-aided diagnosis …
screening for identification of benign and malignant nodules in computer-aided diagnosis …
A hybrid optimization algorithm‐based feature selection for thyroid disease classifier with rough type‐2 fuzzy support vector machine
V Sureshkumar, S Balasubramaniam, V Ravi… - Expert …, 2022 - Wiley Online Library
Thyroid hormones are essential for all the metabolic and reproductive activities with
significance to growth, and neuron development in the human body. The thyroid hormone …
significance to growth, and neuron development in the human body. The thyroid hormone …
Portable ultrasound research system for use in automated bladder monitoring with machine-learning-based segmentation
M Fournelle, T Grün, D Speicher, S Weber, M Yilmaz… - Sensors, 2021 - mdpi.com
We developed a new mobile ultrasound device for long-term and automated bladder
monitoring without user interaction consisting of 32 transmit and receive electronics as well …
monitoring without user interaction consisting of 32 transmit and receive electronics as well …
A novel meta learning based stacked approach for diagnosis of thyroid syndrome
Thyroid syndrome, a complex endocrine disorder, involves the dysregulation of the thyroid
gland, impacting vital physiological functions. Common causes include autoimmune …
gland, impacting vital physiological functions. Common causes include autoimmune …