Current approaches to the management of brain metastases
JH Suh, R Kotecha, ST Chao, MS Ahluwalia… - Nature reviews Clinical …, 2020 - nature.com
Brain metastases are a very common manifestation of cancer that have historically been
approached as a single disease entity given the uniform association with poor clinical …
approached as a single disease entity given the uniform association with poor clinical …
Brain metastasis detection using machine learning: a systematic review and meta-analysis
Background Accurate detection of brain metastasis (BM) is important for cancer patients. We
aimed to systematically review the performance and quality of machine-learning-based BM …
aimed to systematically review the performance and quality of machine-learning-based BM …
[HTML][HTML] Automatically tracking brain metastases after stereotactic radiosurgery
DG Hsu, Å Ballangrud, K Prezelski… - Physics and Imaging in …, 2023 - Elsevier
Background and purpose Patients with brain metastases (BMs) are surviving longer and
returning for multiple courses of stereotactic radiosurgery. BMs are monitored after radiation …
returning for multiple courses of stereotactic radiosurgery. BMs are monitored after radiation …
Segmentation of Brain Metastases Using Background Layer Statistics (BLAST)
BACKGROUND AND PURPOSE: Accurate segmentation of brain metastases is important
for treatment planning and evaluating response. The aim of this study was to assess the …
for treatment planning and evaluating response. The aim of this study was to assess the …
[HTML][HTML] Evaluation of severity of infectious pneumonia for newborn using ultrasound image under adaptive image denoising algorithm
J Liu, T Lei, F Wu - Scientific Programming, 2021 - hindawi.com
This study was to analyze the ultrasound imaging characteristics of infectious pneumonia of
newborn in different conditions and the differences in neurobehavioral development. An …
newborn in different conditions and the differences in neurobehavioral development. An …
[PDF][PDF] Fuzzy C-Means Algorithm-Based ARM-Linux-Embedded System Combined with Magnetic Resonance Imaging for Progression Prediction of Brain Tumors
H Wang, T Song, L Wang, L Yan… - … Methods in Medicine, 2022 - downloads.hindawi.com
The aim of this research was to analyze the application of fuzzy C-means (FCM) algorithm-
based ARM-Linux-embedded system in magnetic resonance imaging (MRI) images for …
based ARM-Linux-embedded system in magnetic resonance imaging (MRI) images for …
