Brain tumor detection and classification using machine learning: a comprehensive survey
J Amin, M Sharif, A Haldorai, M Yasmin… - Complex & intelligent …, 2022 - Springer
Brain tumor occurs owing to uncontrolled and rapid growth of cells. If not treated at an initial
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …
phase, it may lead to death. Despite many significant efforts and promising outcomes in this …
Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine
The increase in the expectations of artificial intelligence (AI) technology has led to machine
learning technology being actively used in the medical field. Non-negative matrix …
learning technology being actively used in the medical field. Non-negative matrix …
A spatial map of onset and sustained responses to speech in the human superior temporal gyrus
To derive meaning from speech, we must extract multiple dimensions of concurrent
information from incoming speech signals. That is, equally important to processing phonetic …
information from incoming speech signals. That is, equally important to processing phonetic …
Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization
Background Segmentation of gliomas in multi-parametric (MP-) MR images is challenging
due to their heterogeneous nature in terms of size, appearance and location. Manual tumor …
due to their heterogeneous nature in terms of size, appearance and location. Manual tumor …
Anti-pd-1 immunotherapy in preclinical gl261 glioblastoma: Influence of therapeutic parameters and non-invasive response biomarker assessment with mrsi-based …
Glioblastomas (GBs) are malignant brain tumours with poor prognosis even after aggressive
therapy. Programmed cell death-1 (PD-1) immune checkpoint blockade is a promising …
therapy. Programmed cell death-1 (PD-1) immune checkpoint blockade is a promising …
Tracking Therapy Response in Glioblastoma Using 1D Convolutional Neural Networks
Simple Summary Glioblastoma (GB) is a malignant brain tumour with no cure, even after the
best treatment. The evaluation of a therapy response is usually based on magnetic …
best treatment. The evaluation of a therapy response is usually based on magnetic …
Unraveling response to temozolomide in preclinical GL261 glioblastoma with MRI/MRSI using radiomics and signal source extraction
Glioblastoma is the most frequent aggressive primary brain tumor amongst human adults. Its
standard treatment involves chemotherapy, for which the drug temozolomide is a common …
standard treatment involves chemotherapy, for which the drug temozolomide is a common …
Anti‐tumour immune response in GL261 glioblastoma generated by Temozolomide Immune‐Enhancing Metronomic Schedule monitored with MRSI‐based …
S Wu, P Calero‐Pérez, L Villamañan… - NMR in …, 2020 - Wiley Online Library
Glioblastomas (GB) are brain tumours with poor prognosis even after aggressive therapy.
Improvements in both therapeutic and follow‐up strategies are urgently needed. In previous …
Improvements in both therapeutic and follow‐up strategies are urgently needed. In previous …
Metronomic treatment in immunocompetent preclinical GL261 glioblastoma: effects of cyclophosphamide and temozolomide
L Ferrer‐Font, N Arias‐Ramos… - NMR in …, 2017 - Wiley Online Library
Glioblastoma (GBM) causes poor survival in patients even when applying aggressive
treatment. Temozolomide (TMZ) is the standard chemotherapeutic choice for GBM treatment …
treatment. Temozolomide (TMZ) is the standard chemotherapeutic choice for GBM treatment …
MRSI‐based molecular imaging of therapy response to temozolomide in preclinical glioblastoma using source analysis
T Delgado‐Goñi, S Ortega‐Martorell… - NMR in …, 2016 - Wiley Online Library
Characterization of glioblastoma (GB) response to treatment is a key factor for improving
patients' survival and prognosis. MRI and magnetic resonance spectroscopic imaging …
patients' survival and prognosis. MRI and magnetic resonance spectroscopic imaging …