AIMC Topic: Lymphoma

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Machine learning applications for the differentiation of primary central nervous system lymphoma from glioblastoma on imaging: a systematic review and meta-analysis.

Neurosurgical focus Nov 1, 2018
OBJECTIVEGlioblastoma (GBM) and primary central nervous system lymphoma (PCNSL) are common intracranial pathologies encountered by neurosurgeons. They often may have similar radiological findings, making diagnosis difficult without surgical biopsy; h...
Humans Machine Learning Brain Neoplasms Lymphoma Diagnosis, Differential Glioblastoma Neuroimaging Central Nervous System Neoplasms
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Clinical manifestation of malignant lymphomas of the head and neck region.

Otolaryngologia polska = The Polish otolaryngology Dec 30, 2017
INTRODUCTION: Malignant lymphoma (ML) is a neoplasm caused by clonal expansion of undifferentiated B, T and NK-lymphoid cells. WHO classification divides lymphomas into two main types, i.e. Hodgkin lymphoma (HL), and non-Hodgkin lymphoma (NHL), with ...
Humans Female Aged Young Adult Adult Male Middle Aged Poland Head and Neck Neoplasms Lymphoma
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Differentiation of Glioblastoma and Lymphoma Using Feature Extraction and Support Vector Machine.

CNS & neurological disorders drug targets Jan 1, 2017
Differentiation of glioblastoma multiformes (GBMs) and lymphomas using multi-sequence magnetic resonance imaging (MRI) is an important task that is valuable for treatment planning. However, this task is a challenge because GBMs and lymphomas may have...
Humans Brain Retrospective Studies Sensitivity and Specificity Brain Neoplasms Imaging, Three-Dimensional Support Vector Machine Lymphoma Magnetic Resonance Imaging Diagnosis, Differential Glioblastoma Nonlinear Dynamics Image Interpretation, Computer-Assisted
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