Abstract Library

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#4586 Base on neuroendocrine tumour classification in CT imaging using pretrained vision transformers and data augmentation

Introduction: Neuroendocrine tumours (NETs) are a group of cancers that can be difficult to distinguish from other malignancies in CT imaging. Their diverse appearance often leads to diagnostic challenges, requiring advanced techniques to improve classification accuracy. Pretrained Vision Transformers (ViTs) have shown promise in medical image analysis, but additional methods are needed to enhance model robustness, particularly when dealing with complex and heterogeneous tumour characteristics.

Conference:

Presenting Author:

Authors: Li H, Tang Z, Ding Z, Chen Y, Li H,

Keywords: Vision transformers, Cancer Detection, Transfer Learning, Medical Image Analysis,

#4244 Cell-free DNA (cfDNA) methylation profiling for minimally invasive cancer detection in patients with Extra-Pulmonary NeuroEndocrine Carcinoma (EP-NEC)

Introduction: Robust biomarkers to aid clinical management of patients (pts) with EP-NEC are lacking. cfDNA methylation profiling has shown higher sensitivity/specificity than cfDNA genome profiling in diagnosing and classifying various cancers, including Small Cell Lung Cancer (SCLC).

Conference:

Presenting Author: Frizziero M

Authors: Frizziero M, Pearce S, Clipson A, Rothwe D, Mouliere F,

Keywords: Extra-Pulmonary NeuroEndocrine Carcinoma, cfDNA, methylation profililing, biomarker,