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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learnin...
Overcoming Physiologic Barriers to Treatments for Hematologic Malignancies by Molecularly Targeting the Tumor Microenvironment
Hematologic malignancies (HMs) represent a group of hematologic cancers originating from bone marrow or lymphoid organs. Currently, leukaemia, lymphoma, and multiple myeloma are the most common HMs. Conventional treatments for HMs include bone marrow transplantation, radiotherapy, chemotherapy, and immunotherapy. Despite the significant achievements obtained over the past decade in the drug therapy of HMs, tumor metastasis and relapse in patients often occurred after an initial response, indicating the generation of drug resistance to current therapies. Moreover, many clinically used therapeutic drugs are often associated with dose-related side effects and a lack of specificity to tumor tiss...
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021
The eight-volume set LNCS 12901, 12902, 12903, 12904, 12905, 12906, 12907, and 12908 constitutes the refereed proceedings of the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, held in Strasbourg, France, in September/October 2021.* The 531 revised full papers presented were carefully reviewed and selected from 1630 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: image segmentation Part II: machine learning - self-supervised learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning - advances in m...
Flora Reipublicae Popularis Sinicae
Includes all the vasular plants of China with brief descriptions, identification keys, essential synonymy, phenology, provincial distribution in China, brief statements on extra-Chinese distribution, and remarks regarding the circumscription of problematical taxa.
Flora of China
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