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Computational Mathematics Modeling in Cancer Analysis : Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings / / Wenjian Qin [and five others] editors
| Computational Mathematics Modeling in Cancer Analysis : Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings / / Wenjian Qin [and five others] editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (182 pages) |
| Disciplina | 616.9940754 |
| Collana | Lecture Notes in Computer Science Series |
| Soggetto topico | Cancer - Imaging |
| ISBN | 3-031-45087-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996558470703316 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational Mathematics Modeling in Cancer Analysis : Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings / / Wenjian Qin [and five others] editors
| Computational Mathematics Modeling in Cancer Analysis : Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings / / Wenjian Qin [and five others] editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (182 pages) |
| Disciplina | 616.9940754 |
| Collana | Lecture Notes in Computer Science Series |
| Soggetto topico | Cancer - Imaging |
| ISBN | 3-031-45087-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910747598603321 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational mathematics modeling in cancer analysis : irst international workshop, CMMCA 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022, proceedings / / edited by Wenjian Qin [and three others]
| Computational mathematics modeling in cancer analysis : irst international workshop, CMMCA 2022, held in conjunction with MICCAI 2022, Singapore, September 18, 2022, proceedings / / edited by Wenjian Qin [and three others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (171 pages) |
| Disciplina | 636.80896994 |
| Collana | Lecture Notes in Computer Science Ser. |
| Soggetto topico | Cancer - Imaging |
| ISBN | 3-031-17266-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996490353903316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational Mathematics Modeling in Cancer Analysis : First International Workshop, CMMCA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings / / edited by Wenjian Qin, Nazar Zaki, Fa Zhang, Jia Wu, Fan Yang
| Computational Mathematics Modeling in Cancer Analysis : First International Workshop, CMMCA 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings / / edited by Wenjian Qin, Nazar Zaki, Fa Zhang, Jia Wu, Fan Yang |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (171 pages) |
| Disciplina |
636.80896994
616.99400113 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Computer engineering Computer networks Machine learning Computers Computer Imaging, Vision, Pattern Recognition and Graphics Computer Engineering and Networks Machine Learning Computing Milieux Càncer Diagnòstic per la imatge Models matemàtics |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9783031172663
3031172663 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cellular 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. |
| Record Nr. | UNINA-9910595023903321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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