Computational Mathematics Modeling in Cancer Analysis : Third International Workshop, CMMCA 2024, Marrakesh, Morocco, October 6, 2024, Proceedings / edited by Jia Wu, Wenjian Qin, Chao Li, Boklye Kim.

Format:

Book

Author/Creator:

Wu, Jia.

Contributor:

Qin, Wenjian.

Li, Chao.

Kim, Boklye.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 15181

Language:

English

Subjects (All):

Image processing--Digital techniques.

Image processing.

Computer vision.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Local Subjects:

Computer Imaging, Vision, Pattern Recognition and Graphics.

Physical Description:

1 online resource (131 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

This 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.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-73360-6

OCLC:

1460465494