Titlebook: Lesion Segmentation in Surgical and Diagnostic Applications; MICCAI 2022 Challeng Yiming Xiao,Guanyu Yang,Shuang Song Conference proceeding

时间

书目名称Lesion Segmentation in Surgical and Diagnostic Applications影响因子(影响力)




书目名称Lesion Segmentation in Surgical and Diagnostic Applications影响因子(影响力)学科排名




书目名称Lesion Segmentation in Surgical and Diagnostic Applications网络公开度




书目名称Lesion Segmentation in Surgical and Diagnostic Applications网络公开度学科排名




书目名称Lesion Segmentation in Surgical and Diagnostic Applications被引频次




书目名称Lesion Segmentation in Surgical and Diagnostic Applications被引频次学科排名




书目名称Lesion Segmentation in Surgical and Diagnostic Applications年度引用




书目名称Lesion Segmentation in Surgical and Diagnostic Applications年度引用学科排名




书目名称Lesion Segmentation in Surgical and Diagnostic Applications读者反馈




书目名称Lesion Segmentation in Surgical and Diagnostic Applications读者反馈学科排名

培养

反叛者

Mostafa Sharifzadeh,Habib Benali,Hassan Rivazhow that the constant dialysate temperature affects the patient’s quality of life due to their different temperature threshold. Thus, these factors serve as a motivation factor to design an individualized dialysate temperature control for hemodialysis patients, which can actively control the body te

诙谐

strates how hybrid evolutionary algorithms and some new appr.As industrial, commercial, and residential demands increase and with the rise of privatization and deregulation of the electric energy industry around the world, it is necessary to improve the performance of electric operational management

watertight,

Michael Baumgartner,Peter M. Full,Klaus H. Maier-Heinstrates how hybrid evolutionary algorithms and some new appr.As industrial, commercial, and residential demands increase and with the rise of privatization and deregulation of the electric energy industry around the world, it is necessary to improve the performance of electric operational management

衰老

声音刺耳

A Segmentation Network Based on 3D U-Net for Automatic Renal Cancer Structure Segmentation in CTA ImA) images has great clinical significance in clinical diagnosis. In this work, we designed a network architecture based on 3D U-Net and introduced the residual block into network architecture for renal cancer structure segmentation in CTA images. In the network architecture we designed, the multi-sc

喷油井

JOT

A CNN-Based Multi-stage Framework for Renal Multi-structure Segmentationney, renal tumor, renal vein and renal artery helps clinicians make accurate preoperative planning. In this paper, we utilize a modified nnU-Net named nnHra-Net network, and propose a multi-stage framework with coarse-to-fine and ensemble learning strategy to precisely segment the multi-structure of

改良

CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentatioe distressing to the patient. Some surgery-based renal cancer treatments like laparoscopic partial nephrectomy relys on the 3D kidney parsing on computed tomography angiography (CTA) images. Many automatic segmentation techniques have been put forward to make multi-structure segmentation of the kidn