LEADER 03646nam 22005295 450 001 9910983336103321 005 20251113203946.0 010 $a3-031-73360-6 024 7 $a10.1007/978-3-031-73360-4 035 $a(MiAaPQ)EBC31708219 035 $a(Au-PeEL)EBL31708219 035 $a(CKB)36292863800041 035 $a(DE-He213)978-3-031-73360-4 035 $a(EXLCZ)9936292863800041 100 $a20241005d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Mathematics Modeling in Cancer Analysis $eThird International Workshop, CMMCA 2024, Marrakesh, Morocco, October 6, 2024, Proceedings /$fedited by Jia Wu, Wenjian Qin, Chao Li, Boklye Kim 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (131 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15181 311 08$a3-031-73359-2 327 $aUnified 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. 330 $aThis book constitutes the refereed proceedings of Third International Workshop on Computational Mathematics Modeling in Cancer Analysis, CMMCA 2024, held in Marrakesh, Morocco, on October 6, 2024, in conjunction with MICCAI 2024. The 12 full papers presented in this book were carefully reviewed and selected from 14 submissions. CMMCA serves as a platform for collaboration among professionals in mathematics, engineering, computer science, and medicine, focusing on innovative mathematical methods for analyzing complex cancer data. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15181 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 676 $a006 700 $aWu$b Jia$01782566 701 $aQin$b Wenjian$01785112 701 $aLi$b Chao$01214837 701 $aKim$b Boklye$01785113 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983336103321 996 $aComputational Mathematics Modeling in Cancer Analysis$94316749 997 $aUNINA