[HTML][HTML] Brain tumor diagnosis using machine learning, convolutional neural networks, capsule neural networks and vision transformers, applied to MRI: a survey
Management of brain tumors is based on clinical and radiological information with
presumed grade dictating treatment. Hence, a non-invasive assessment of tumor grade is of …
presumed grade dictating treatment. Hence, a non-invasive assessment of tumor grade is of …
A systematic review on intracranial aneurysm and hemorrhage detection using machine learning and deep learning techniques
SN Ahmed, P Prakasam - Progress in Biophysics and Molecular Biology, 2023 - Elsevier
The risk of discovering an intracranial aneurysm during the initial screening and follow-up
screening are reported as around 11%, and 7% respectively (Zuurbie et al., 2023) to these …
screening are reported as around 11%, and 7% respectively (Zuurbie et al., 2023) to these …
[HTML][HTML] A survey of brain tumor segmentation and classification algorithms
A brain Magnetic resonance imaging (MRI) scan of a single individual consists of several
slices across the 3D anatomical view. Therefore, manual segmentation of brain tumors from …
slices across the 3D anatomical view. Therefore, manual segmentation of brain tumors from …
MR image denoising and super-resolution using regularized reverse diffusion
Patient scans from MRI often suffer from noise, which hampers the diagnostic capability of
such images. As a method to mitigate such artifacts, denoising is largely studied both within …
such images. As a method to mitigate such artifacts, denoising is largely studied both within …
[HTML][HTML] Applications of artificial intelligence in the radiology roundtrip: process streamlining, workflow optimization, and beyond
K Pierre, AG Haneberg, S Kwak, KR Peters… - Seminars in …, 2023 - Elsevier
There are many impactful applications of artificial intelligence (AI) in the electronic radiology
roundtrip and the patient's journey through the healthcare system that go beyond diagnostic …
roundtrip and the patient's journey through the healthcare system that go beyond diagnostic …
[HTML][HTML] Evaluation of a deep learning-based reconstruction method for denoising and image enhancement of shoulder MRI in patients with shoulder pain
GC Feuerriegel, K Weiss, S Kronthaler, Y Leonhardt… - European …, 2023 - Springer
Objectives To evaluate the diagnostic performance of an automated reconstruction algorithm
combining MR imaging acquired using compressed SENSE (CS) with deep learning (DL) in …
combining MR imaging acquired using compressed SENSE (CS) with deep learning (DL) in …
Deep learning in ultrasound elastography imaging: A review
It is known that changes in the mechanical properties of tissues are associated with the
onset and progression of certain diseases. Ultrasound elastography is a technique to …
onset and progression of certain diseases. Ultrasound elastography is a technique to …
[HTML][HTML] Image noise removal in ultrasound breast images based on hybrid deep learning technique
BB Vimala, S Srinivasan, SK Mathivanan… - Sensors, 2023 - mdpi.com
Rapid improvements in ultrasound imaging technology have made it much more useful for
screening and diagnosing breast problems. Local-speckle-noise destruction in ultrasound …
screening and diagnosing breast problems. Local-speckle-noise destruction in ultrasound …
[HTML][HTML] Deep-learning-based image quality enhancement of CT-like MR imaging in patients with suspected traumatic shoulder injury
Purpose To evaluate the diagnostic performance of CT-like MR images reconstructed with
an algorithm combining compressed sense (CS) with deep learning (DL) in patients with …
an algorithm combining compressed sense (CS) with deep learning (DL) in patients with …
[HTML][HTML] Deep Learning-Based Denoising of CEST MR Data: A Feasibility Study on Applying Synthetic Phantoms in Medical Imaging
KL Radke, B Kamp, V Adriaenssens, J Stabinska… - Diagnostics, 2023 - mdpi.com
Chemical Exchange Saturation Transfer (CEST) magnetic resonance imaging (MRI)
provides a novel method for analyzing biomolecule concentrations in tissues without …
provides a novel method for analyzing biomolecule concentrations in tissues without …