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View article: P04.11.B ARTIFICIAL INTELLIGENCE-BASED DIAGNOSIS TOOL FOR PEDIATRIC CENTRAL NERVOUS SYSTEM TUMORS
P04.11.B ARTIFICIAL INTELLIGENCE-BASED DIAGNOSIS TOOL FOR PEDIATRIC CENTRAL NERVOUS SYSTEM TUMORS Open
BACKGROUND Pilocytic astrocytoma (PA) is the most frequent pediatric brain tumor, classified as CNS WHO grade 1. The 2021 WHO CNS tumor classification emphasizes integrated molecular diagnosis; accordingly, PAs are defined by key MAPK path…
View article: Optimal Fractionation Scheduling for Radiotherapy Treatments with Reinforcement Learning, Tumor Growth Modeling and Outcome Modeling
Optimal Fractionation Scheduling for Radiotherapy Treatments with Reinforcement Learning, Tumor Growth Modeling and Outcome Modeling Open
Objective: Radiotherapy is a primary method for cancer treatment, wherein radiation doses are divided into multiple sessions or fractions to effectively target tumors and minimize damage to surrounding tissues. Methods: In this study, we l…
View article: Exploring Foundation Models Fine-Tuning for Cytology Classification
Exploring Foundation Models Fine-Tuning for Cytology Classification Open
Cytology slides are essential tools in diagnosing and staging cancer, but their analysis is time-consuming and costly. Foundation models have shown great potential to assist in these tasks. In this paper, we explore how existing foundation…
View article: Sparse Blind Spherical Deconvolution of diffusion weighted MRI
Sparse Blind Spherical Deconvolution of diffusion weighted MRI Open
Diffusion-weighted magnetic resonance imaging provides invaluable insights into in-vivo neurological pathways. However, accurate and robust characterization of white matter fibers microstructure remains challenging. Widely used spherical d…