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

時間

書目名稱Lesion Segmentation in Surgical and Diagnostic Applications影響因子(影響力)




書目名稱Lesion Segmentation in Surgical and Diagnostic Applications影響因子(影響力)學(xué)科排名




書目名稱Lesion Segmentation in Surgical and Diagnostic Applications網(wǎng)絡(luò)公開度




書目名稱Lesion Segmentation in Surgical and Diagnostic Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Lesion Segmentation in Surgical and Diagnostic Applications被引頻次




書目名稱Lesion Segmentation in Surgical and Diagnostic Applications被引頻次學(xué)科排名




書目名稱Lesion Segmentation in Surgical and Diagnostic Applications年度引用




書目名稱Lesion Segmentation in Surgical and Diagnostic Applications年度引用學(xué)科排名




書目名稱Lesion Segmentation in Surgical and Diagnostic Applications讀者反饋




書目名稱Lesion Segmentation in Surgical and Diagnostic Applications讀者反饋學(xué)科排名

培養(yǎng)

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

詼諧

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

聲音刺耳

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

噴油井

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