LEADER 05246nam 22006495 450 001 9910983342203321 005 20251225185001.0 010 $a3-031-73376-2 024 7 $a10.1007/978-3-031-73376-5 035 $a(CKB)36315455000041 035 $a(MiAaPQ)EBC31716995 035 $a(Au-PeEL)EBL31716995 035 $a(DE-He213)978-3-031-73376-5 035 $a(EXLCZ)9936315455000041 100 $a20241008d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCancer Prevention, Detection, and Intervention $eThird MICCAI Workshop, CaPTion 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings /$fedited by Sharib Ali, Fons van der Sommen, Bart?omiej W?adys?aw Papie?, Noha Ghatwary, Yueming Jin, Iris Kolenbrander 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (251 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15199 311 08$a3-031-73375-4 320 $aIncludes bibliographical references and index. 327 $aClassification and characterization -- Multi-center ovarian tumor classification using hierarchical transformer-based multiple-instance learning -- FoTNet Enables Preoperative Differentiation of Malignant Brain Tumors with Deep Learning -- Classification of Endoscopy and Video Capsule Images using Hybrid Model -- Multimodal Deep Learning-based Prediction of Immune Checkpoint Inhibitor Efficacy in Brain Metastases -- Seeing More with Less: Meta-Learning and Diffusion Models for Tumor Characterization in Low-data Settings -- Performance Evaluation of Deep Learning and Transformer Models Using Multimodal Data for Breast Cancer Classification -- Detection and Segmentation -- On undesired emergent behaviors in compound prostate cancer detection systems -- Optimizing Multi-Expert Consensus for Classification and Precise Localization of Barrett?s Neoplasia -- Automated Hepatocellular Carcinoma Analysis in Multi-Phase CT with Deep Learning -- Refining deep learning segmentation maps with a local thresholding approach: application to liver surface nodularity quantification in CT -- Uncertainty-Aware Deep Learning Classification for MRI-based Prostate Cancer Detection -- Generalized Polyp Detection from Colonoscopy frames Using proposed EDF-YOLO8 Network -- AI-Assisted Laryngeal Examination System -- UltraWeak: Enhancing Breast Ultrasound Cancer Detection with Deformable DETR and Weak Supervision -- SelectiveKD: A semi-supervised framework for cancer detection in DBT through Knowledge Distillation and Pseudo-labeling -- Cancer/Early cancer detection, treatment, and survival prognosis.-AI Age Discrepancy: A Novel Parameter for Frailty Assessment in Kidney Tumor Patients -- Deep Neural Networks for Predicting Recurrence and Survival in Patients with Esophageal Cancer After Surgery -- Treatment efficacy prediction of focused ultrasound therapies using multi-parametric magnetic resonance imaging -- SurRecNet: A Multi-Task Model with Integrating MRI and Diagnostic Descriptions for Rectal Cancer Survival Analysis -- Improved prediction of recurrence after prostate cancer radiotherapy using multimodal data and in silico simulations -- AutoDoseRank: Automated Dosimetry-informed Segmentation Ranking for Radiotherapy -- SurvCORN: Survival Analysis with Conditional Ordinal Ranking Neural Network. 330 $aThis book constitutes the refereed proceedings of the Third International Workshop on Cancer Prevention Through Early Detection, CaPTion, held in conjunction with the 27th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco, on October 6, 2024. The 22 full papers presented in this book were carefully reviewed and selected from 25 submissions. They were organized in topical sections as follows: Classification and characterization; detection and segmentation; cancer/early cancer detection, treatment and survival prognosis. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15199 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aMachine learning 606 $aComputers 606 $aApplication software 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aMachine Learning 606 $aComputing Milieux 606 $aComputer and Information Systems Applications 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aMachine learning. 615 0$aComputers. 615 0$aApplication software. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aMachine Learning. 615 24$aComputing Milieux. 615 24$aComputer and Information Systems Applications. 676 $a616.07540285 702 $aAli?$b S?a?riba 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983342203321 996 $aCancer Prevention, Detection, and Intervention$94521694 997 $aUNINA