[HTML][HTML] Radiomics and deep learning for disease detection in musculoskeletal radiology: an overview of novel MRI-and CT-based approaches
Radiomics and machine learning–based methods offer exciting opportunities for improving
diagnostic performance and efficiency in musculoskeletal radiology for various tasks …
diagnostic performance and efficiency in musculoskeletal radiology for various tasks …
Making the invisible visible—ultrashort echo time magnetic resonance imaging: technical developments and applications
Magnetic resonance imaging (MRI) uses a large magnetic field and radio waves to generate
images of tissues in the body. Conventional MRI techniques have been developed to image …
images of tissues in the body. Conventional MRI techniques have been developed to image …
On the analyses of medical images using traditional machine learning techniques and convolutional neural networks
Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …
Automatic interpretation and clinical evaluation for fundus fluorescein angiography images of diabetic retinopathy patients by deep learning
Background/aims Fundus fluorescein angiography (FFA) is an important technique to
evaluate diabetic retinopathy (DR) and other retinal diseases. The interpretation of FFA …
evaluate diabetic retinopathy (DR) and other retinal diseases. The interpretation of FFA …
Deep learning model for automated kidney stone detection using coronal CT images
Kidney stones are a common complaint worldwide, causing many people to admit to
emergency rooms with severe pain. Various imaging techniques are used for the diagnosis …
emergency rooms with severe pain. Various imaging techniques are used for the diagnosis …
Corn leaf diseases diagnosis based on K-means clustering and deep learning
H Yu, J Liu, C Chen, AA Heidari, Q Zhang… - IEEE …, 2021 - ieeexplore.ieee.org
Accurate diagnosis of corn crop diseases is a complex challenge faced by farmers during
the growth and production stages of corn. In order to address this problem, this paper …
the growth and production stages of corn. In order to address this problem, this paper …
[HTML][HTML] A bird's-eye view of deep learning in bioimage analysis
E Meijering - Computational and structural biotechnology journal, 2020 - Elsevier
Deep learning of artificial neural networks has become the de facto standard approach to
solving data analysis problems in virtually all fields of science and engineering. Also in …
solving data analysis problems in virtually all fields of science and engineering. Also in …
[HTML][HTML] Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images
Kidney stone disease is a serious public health concern that is getting worse with changes
in diet, obesity, medical conditions, certain supplements etc. A kidney stone also called a …
in diet, obesity, medical conditions, certain supplements etc. A kidney stone also called a …
The QIBA profile for MRI-based compositional imaging of knee cartilage
MRI-based cartilage compositional analysis shows biochemical and microstructural
changes at early stages of osteoarthritis before changes become visible with structural MRI …
changes at early stages of osteoarthritis before changes become visible with structural MRI …
Ultrashort echo time magnetic resonance imaging techniques: met and unmet needs in musculoskeletal imaging
This review article summarizes recent technical developments in ultrashort echo time (UTE)
magnetic resonance imaging of musculoskeletal (MSK) tissues with short‐T2 relaxation …
magnetic resonance imaging of musculoskeletal (MSK) tissues with short‐T2 relaxation …