An Augmented Modulated Deep Learning Based Intelligent Predictive Model for Brain Tumor Detection Using GAN Ensemble
Brain tumor detection in the initial stage is becoming an intricate task for clinicians
worldwide. The diagnosis of brain tumor patients is rigorous in the later stages, which is a …
worldwide. The diagnosis of brain tumor patients is rigorous in the later stages, which is a …
Brain tumor segmentation using 3D Mask R-CNN for dynamic susceptibility contrast enhanced perfusion imaging
The segmentation of neoplasms is an important part of radiotherapy treatment planning,
monitoring disease progression, and predicting patient outcome. In the brain, functional …
monitoring disease progression, and predicting patient outcome. In the brain, functional …
Post-op brain tumor bed detection and segmentation using 3D Mask R-CNN for dynamic magnetic resonance perfusion imaging
Detecting and segmenting neoplasms are an important part of radiotherapy treatment
planning, disease monitoring, and predicting patient outcome. In the brain, functional …
planning, disease monitoring, and predicting patient outcome. In the brain, functional …
Classification of lesion specific myocardial ischemia using cardiac computed tomography radiomics
Lesion-specific myocardial ischemia is a common heart disorder and a significant cause of
cardiovascular morbidity and mortality. It alters left ventricular myocardial thickness …
cardiovascular morbidity and mortality. It alters left ventricular myocardial thickness …
[PDF][PDF] Machine Learning in Brain Tumors and Their Habitat: A Systematic Review. Cancers 2023, 15, 3845. h ps
Radiomics is a rapidly evolving field that involves extracting and analysing quantitative
features from medical images, such as computed tomography or magnetic resonance …
features from medical images, such as computed tomography or magnetic resonance …
Machine learning of gliomas in 3D dynamic contrast enhanced MRI: automatic segmentation and classification
In this chapter, we describe two machine learning applications that we have explored: our
more recent automatic brain tumor segmentation method as well as our automatic …
more recent automatic brain tumor segmentation method as well as our automatic …
Radiomics and Machine Learning in Brain Tumors and Their Habitat: A Systematic Review
Simple Summary Radiomics involves the extraction of quantitative features from medical
images, which can provide more detailed and objective information about the features of a …
images, which can provide more detailed and objective information about the features of a …