Opening book details…
Can I read Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation on EtoBox?
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation by Boris Shirokikh; Alexey Shevtsov; Anvar Kurmukov; Alexandra Dalechina; Egor Krivov; Valery Kostjuchenko; Andrey Golanov; Mikhail Belyaev is a computer science book available to read on EtoBox.
What is Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation about?
The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic.<p>The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the follow
Who reads Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Boris Shirokikh; Alexey Shevtsov; Anvar Kurmukov; Alexandra Dalechina; Egor Krivov; Valery Kostjuchenko; Andrey Golanov; Mikhail Belyaev
- Publisher
- Springer International Publishing : Imprint : Springer
- Published
- 2020
- Language
- EN
- ISBN
- 9783030597214
- Category
- computer science
- Subjects
- Science, Business, Medical
- Updated
- 2026-03-25
More by Boris Shirokikh; Alexey Shevtsov; Anvar Kurmukov; Alexandra Dalechina; Egor Krivov; Valery Kostjuchenko; Andrey Golanov; Mikhail Belyaev
Similar books
- Semi-supervised Medical Image Classification with Global Latent Mixing — Prashnna Kumar Gyawali; Sandesh Ghimire; Pradeep Bajracharya; Zhiyuan Li; Linwei Wang (2020)
- Temporal-Consistent Segmentation of Echocardiography with Co-learning from Appearance and Shape — Hongrong Wei; Heng Cao; Yiqin Cao; Yongjin Zhou; Wufeng Xue; Dong Ni; Shuo Li (2020)
- Automatic Segmentation of the Left Ventricle in 3D SPECT Data by Registration with a Dynamic Anatomic Model — Lars Dornheim; Klaus D. Tönnies; Kat Dixon (2005)
- Multi-scale Multi-task Distillation for Incremental 3D Medical Image Segmentation — Mu Tian; Qinzhu Yang; Yi Gao (2023)
- The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN — Wenjun Yan; Yuanyuan Wang; Shengjia Gu; Lu Huang; Fuhua Yan; Liming Xia; Qian Tao (2019)
- ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation — Ailiang Lin; Jiayu Xu; Jinxing Li; Guangming Lu (2022)