A Critical Review on Segmentation of Glioma Brain Tumor and Prediction of Overall Survival
N Rasool, JI Bhat - Archives of Computational Methods in Engineering, 2024 - Springer
In recent years, the surge in glioma brain tumor cases has positioned it as the 10th most
prevalent tumor affecting individuals across diverse age groups. Gliomas, characterized by …
prevalent tumor affecting individuals across diverse age groups. Gliomas, characterized by …
Machine learning in image‐based outcome prediction after radiotherapy: A review
The integration of machine learning (ML) with radiotherapy has emerged as a pivotal
innovation in outcome prediction, bringing novel insights amid unique challenges. This …
innovation in outcome prediction, bringing novel insights amid unique challenges. This …
The role of biomarkers and dosimetry parameters in overall and progression free survival prediction for patients treated with personalized 90Y glass microspheres …
Abstract Background Overall Survival (OS) and Progression-Free Survival (PFS) analyses
are crucial metrics for evaluating the efficacy and impact of treatment. This study evaluated …
are crucial metrics for evaluating the efficacy and impact of treatment. This study evaluated …
Deep learning-powered CT-less multi-tracer organ segmentation from PET images: a solution for unreliable CT segmentation in PET/CT imaging
Introduction: The common approach for organ segmentation in hybrid imaging relies on co-
registered CT (CTAC) images. This method, however, presents several limitations in real …
registered CT (CTAC) images. This method, however, presents several limitations in real …
[HTML][HTML] Fully Automated Region-Specific Human-Perceptive-Equivalent Image Quality Assessment: Application to 18F-FDG PET Scans
Results In the head and neck, chest, chest-abdomen interval, abdomen, and pelvis regions,
the best models achieved area under the curve, accuracy, sensitivity, and specificity of [0.97 …
the best models achieved area under the curve, accuracy, sensitivity, and specificity of [0.97 …
[HTML][HTML] Machine learning-based analysis identifies a 13-gene prognostic signature to improve the clinical outcomes of colorectal cancer
D Xun, X Li, L Huang, Y Zhao… - Journal of …, 2024 - pmc.ncbi.nlm.nih.gov
Background Colorectal cancer (CRC) is a common intestinal malignancy worldwide, posing
a serious threat to public health. Due to its high heterogeneity, prognosis and drug response …
a serious threat to public health. Due to its high heterogeneity, prognosis and drug response …
Organomics: A concept reflecting the importance of PET/CT healthy organ radiomics in non-small cell lung cancer prognosis prediction using machine learning
Purpose: Non-small cell lung cancer (NSCLC) is the most common subtype of lung cancer.
Patient survival prediction using machine learning and radiomics analysis proved to provide …
Patient survival prediction using machine learning and radiomics analysis proved to provide …
Enhancing Overall Survival Prediction in Head and Neck Cancer with CT Peritumoral Radiomics and Machine Learning
Predicting the prognosis after treatment could be beneficial for patient selection and
treatment optimization of head and neck malignancies. Machine learning (ML) proved to …
treatment optimization of head and neck malignancies. Machine learning (ML) proved to …