Nanomedicine facilitated cell signaling blockade: difficulties and strategies to overcome glioblastoma
Glioblastoma (GBM) is a highly aggressive and lethal type of brain tumor with complex and
diverse molecular signaling pathways involved that are in its development and progression …
diverse molecular signaling pathways involved that are in its development and progression …
A Systematic Review on Recent Advancements in Deep Learning and Mathematical Modeling for Efficient Detection of Glioblastoma
M Salman, PK Das, SK Mohanty - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In medical facilities, glioblastoma detection and growth patterns are critical yet challenging
tasks. It is important for early diagnosis and therapy planning to save lives. Glioblastoma …
tasks. It is important for early diagnosis and therapy planning to save lives. Glioblastoma …
MRI and RNA-seq fusion for prediction of pathological response to neoadjuvant chemotherapy in breast cancer
Accurate prediction of the pathological complete response (pCR) to neoadjuvant
chemotherapy (NAC) is crucial for precise treatment of breast cancer. However, current …
chemotherapy (NAC) is crucial for precise treatment of breast cancer. However, current …
Identifying pathological groups from MRI in prostate cancer using graph representation learning
F Liu, Y Zhao, C Yan, J Duan, L Tang, B Gao, R Wang - Displays, 2024 - Elsevier
Multiparametric magnetic resonance imaging (mpMRI) plays a critical role in prostate cancer
(PCa) diagnosis, aiding in clinical trial evaluation and personalized treatment planning. We …
(PCa) diagnosis, aiding in clinical trial evaluation and personalized treatment planning. We …
Riskformer: Survival prediction from MR imaging in patients with IDH-wildtype glioblastoma
Background Glioblastoma is the most common malignant brain tumor in adults. Despite
aggressive treatment, its prognosis is still poor, with a median overall survival of less than 15 …
aggressive treatment, its prognosis is still poor, with a median overall survival of less than 15 …
A hybrid classification model with radiomics and CNN for high and low grading of prostate cancer Gleason score on mp-MRI
Prostate cancer is a prevalent malignancy among men, and the precise diagnosis and
grading of prostate cancer have become key research areas in contemporary medicine …
grading of prostate cancer have become key research areas in contemporary medicine …
A Deep Learning-Based Animation Video Image Data Anomaly Detection and Recognition Algorithm
C Li, Q Qian - Journal of Organizational and End User Computing …, 2024 - igi-global.com
Anomaly detection plays a crucial role in the field of machine learning, as it involves
constructing detection models capable of identifying abnormal samples that deviate from …
constructing detection models capable of identifying abnormal samples that deviate from …
MRI sequence impact on deep learning extraction of prognostic features for glioblastoma survival prediction
M Mahootiha, HA Qadir… - Medical Imaging 2024 …, 2024 - spiedigitallibrary.org
In glioblastoma, an aggressive brain tumor with a low survival rate, accurately predicting
patient survival is crucial for effective treatment planning. For a deep learning model …
patient survival is crucial for effective treatment planning. For a deep learning model …