El. knyga: Computational Mathematics Modeling in Cancer Analysis: Third International Workshop, CMMCA 2024, Marrakesh, Morocco, October 6, 2024, Proceedings

Unified Modeling Enhanced Multimodal Learning for Precision
Neuro-Oncolo.- A Reference-based Approach for Tumor Size Estimation in
Monocular Laparoscopic Videos.- Follicular Lymphoma Grading Based on
3D-DDcGAN and Bayesian CNN using PET-CT Images.- Multi-channel Multi-model
Fusion Module (MMFM) based Circulating Abnormal Cells (CACs) Detection for
Lung Cancer early Diagnosis with Fluorescence in Situ Hybridization (FISH)
Images.- Domain Game: Disentangle Anatomical Feature for Single Domain
Generalized Segmentation.- Attention-fusion Model for Multi-Omics (AMMO) Data
Integration in Lung Adenocarcinoma.-PD-L1 Expression Prediction using
Scalable Multi Instance Transformer.- Improving Single-Source Domain
Generalization via Anatomy-Guided Texture Augmentation for Cervical Tumor
Segmentation.- PANDA: Pneumonitis ANomaly Detection using Attention
U-Net.- Estimating The Average Treatment Effect using Weighting Methods in
Lung Cancer Immunotherapy.- Beyond Conventional Parametric Modeling:
Data-Driven Framework for Estimation and Prediction of Time Activity Curves
in Dynamic PET Imaging.- Assessment of Radiomics Feature Repeatability and
Reproducibility and Their Generalizability Across Image Modalities by
Perturbation in Nasopharyngeal Carcinoma Patients.