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Glioblastoma in adults: a Society for Neuro-Oncology (SNO) and European Society of Neuro-Oncology (EANO) consensus review on current management and future …
PY Wen, M Weller, EQ Lee, BM Alexander… - Neuro …, 2020 - academic.oup.com
Glioblastomas are the most common form of malignant primary brain tumor and an important
cause of morbidity and mortality. In recent years there have been important advances in …
cause of morbidity and mortality. In recent years there have been important advances in …
[HTML][HTML] Evidence-based recommendations on categories for extent of resection in diffuse glioma
Surgical resection represents the standard of care in diffuse glioma, and more extensive
tumour resection appears to be associated with favourable outcome. Up to now, terminology …
tumour resection appears to be associated with favourable outcome. Up to now, terminology …
RANO 2.0: update to the response assessment in neuro-oncology criteria for high-and low-grade gliomas in adults
PURPOSE The Response Assessment in Neuro-Oncology (RANO) criteria for high-grade
gliomas (RANO-HGG) and low-grade gliomas (RANO-LGG) were developed to improve …
gliomas (RANO-HGG) and low-grade gliomas (RANO-LGG) were developed to improve …
Assessing the trustworthiness of saliency maps for localizing abnormalities in medical imaging
Purpose To evaluate the trustworthiness of saliency maps for abnormality localization in
medical imaging. Materials and Methods Using two large publicly available radiology …
medical imaging. Materials and Methods Using two large publicly available radiology …
A survey on U-shaped networks in medical image segmentations
The U-shaped network is one of the end-to-end convolutional neural networks (CNNs). In
electron microscope segmentation of ISBI challenge 2012, the concise architecture and …
electron microscope segmentation of ISBI challenge 2012, the concise architecture and …
Emerging role of artificial intelligence in diagnosis, classification and clinical management of glioma
Glioma represents a dominant primary intracranial malignancy in the central nervous
system. Artificial intelligence that mainly includes machine learning, and deep learning …
system. Artificial intelligence that mainly includes machine learning, and deep learning …
A comprehensive survey on brain tumor diagnosis using deep learning and emerging hybrid techniques with multi-modal MR image
The brain tumor is considered the deadly disease of the century. At present, neuroscience
and artificial intelligence conspire in the timely delineation, detection, and classification of …
and artificial intelligence conspire in the timely delineation, detection, and classification of …
Portable, low-field magnetic resonance imaging enables highly accessible and dynamic bedside evaluation of ischemic stroke
Brain imaging is essential to the clinical management of patients with ischemic stroke.
Timely and accessible neuroimaging, however, can be limited in clinical stroke pathways …
Timely and accessible neuroimaging, however, can be limited in clinical stroke pathways …
Generative adversarial networks to synthesize missing T1 and FLAIR MRI sequences for use in a multisequence brain tumor segmentation model
Background Missing MRI sequences represent an obstacle in the development and use of
deep learning (DL) models that require multiple inputs. Purpose To determine if synthesizing …
deep learning (DL) models that require multiple inputs. Purpose To determine if synthesizing …
[HTML][HTML] A customized VGG19 network with concatenation of deep and handcrafted features for brain tumor detection
Brain tumor (BT) is one of the brain abnormalities which arises due to various reasons. The
unrecognized and untreated BT will increase the morbidity and mortality rates. The clinical …
unrecognized and untreated BT will increase the morbidity and mortality rates. The clinical …