LEADER 04648nam 22007095 450 001 9910595023903321 005 20230810180417.0 010 $a3-031-17266-3 024 7 $a10.1007/978-3-031-17266-3 035 $a(CKB)5850000000078322 035 $a(MiAaPQ)EBC7102179 035 $a(Au-PeEL)EBL7102179 035 $a(DE-He213)978-3-031-17266-3 035 $a(PPN)264953444 035 $a(EXLCZ)995850000000078322 100 $a20220919d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Mathematics Modeling in Cancer Analysis $eFirst International Workshop, CMMCA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings /$fedited by Wenjian Qin, Nazar Zaki, Fa Zhang, Jia Wu, Fan Yang 205 $a1st ed. 2022. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2022. 215 $a1 online resource (171 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v13574 300 $aIncludes index. 311 $a3-031-17265-5 320 $aIncludes bibliographical references and index. 327 $aCellular Architecture on Whole Slide Images Allows the Prediction of Survival in Lung Adenocarcinoma -- Is More Always Better? Effects of Patch Sampling in Distinguishing Chronic Lymphocytic Leukemia from Transformation to Diffuse Large B-cell Lymphoma -- Repeatability of Radiomic Features against Simulated Scanning Position Stochasticity across Imaging Modalities and Cancer Subtypes: A Retrospective Multi-Institutional Study on Head-and-Neck Cases -- MLCN: Metric Learning Constrained Network for Whole Slide Image Classification with Bilinear Gated Attention Mechanism -- NucDETR: End-to-End Transformer for Nucleus Detection in Histopathology Images -- Self-supervised learning based on a pre-trained method for the subtype classification of spinal tumors -- CanDLE: Illuminating Biases in Transcriptomic Pan-Cancer Diagnosis -- Cross-Stream Interactions: Segmentation of Lung Adenocarcinoma Growth Patterns -- Modality-collaborative AI model Ensemble for Lung Cancer Early Diagnosis -- Clustering-based Multi-instance Learning Network for Whole Slide Image Classification -- Multi-task Learning-driven Volume and Slice Level Contrastive Learning for 3D Medical Image Classification -- Light Annotation Fine Segmentation: Histology Image Segmentation based on VGG Fusion with Global Normalisation CAM -- Tubular Structure-Aware Convolutional Neural Networks for Organ at Risks Segmentation in Cervical Cancer Radiotherapy -- Automatic Computer-aided Histopathologic Segmentation for Nasopharyngeal Carcinoma using Transformer Framework -- Accurate Breast Tumor Identification UsingComputational Ultrasound Image Features. 330 $aThis book constitutes the proceedings of the First Workshop on Computational Mathematics Modeling in Cancer Analysis (CMMCA2022), held in conjunction with MICCAI 2022, in Singapore in September 2022. Due to the COVID-19 pandemic restrictions, the CMMCA2022 was held virtually. DALI 2022 accepted 15 papers from the 16 submissions that were reviewed. A major focus of CMMCA2022 is to identify new cutting-edge techniques and their applications in cancer data analysis in response to trends and challenges in theoretical, computational and applied aspects of mathematics in cancer data analysis. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v13574 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aComputer engineering 606 $aComputer networks 606 $aMachine learning 606 $aComputers 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputer Engineering and Networks 606 $aMachine Learning 606 $aComputing Milieux 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aMachine learning. 615 0$aComputers. 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputer Engineering and Networks. 615 24$aMachine Learning. 615 24$aComputing Milieux. 676 $a636.80896994 676 $a616.99400113 702 $aQin$b Wenjian 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910595023903321 996 $aComputational mathematics modeling in cancer analysis$93033891 997 $aUNINA