Del 14540 i serien Lecture Notes in Computer Science

Kidney and Kidney Tumor Segmentation

MICCAI 2023 Challenge, KiTS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

Häftad, Engelska, 2024

AvNicholas Heller,Andrew Wood,Fabian Isensee,Tim Rädsch,Resha Teipaul,Nikolaos Papanikolopoulos,Christopher Weight

789 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

This book constitutes the Third International Challenge on Kidney and Kidney Tumor Segmentation, KiTS 2023, which was held in conjunction with the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023.

Produktinformation

Utgivningsdatum2024-03-07
Mått155 x 235 x 10 mm
Vikt277 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor164
FörlagSpringer International Publishing AG
ISBN9783031548055

Tillhör följande kategorier

Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023.- Exploring 3D U-Net Training Configurations and Post-Processing Strategies for the MICCAI 2023 Kidney and Tumor Segmentation Challenge.- Dynamic resolution network for kidney tumor segmentation.- Analyzing domain shift when using additional data for the MICCAI KiTS23 Challenge.- A Hybrid Network based on nnU-net and Swin Transformer for Kidney Tumor Segmentation.- Leveraging Uncertainty Estimation for Segmentation of Kidney, Kidney Tumor and Kidney Cysts.- An Ensemble of 2.5D ResUnet Based Models for Segmentation of Kidney and Masses.- Using Uncertainty Information for Kidney Tumor Segmentation.- Two-Stage Segmentation and Ensemble Modeling: Kidney Tumor Analysis in CT Images.- GSCA-Net: A global spatial channel attention network for kidney, tumor and cyst segmentation.- Genetic Algorithm enhanced nnU-Net for the MICCAI KiTS23 Challenge.- Two-Stage Segmentation Framework with Parallel Decoders for the Kidney and Kidney Tumor Segmentation.- 3d U-Net with ROI Segmentation of Kidneys and Masses in CT Scans.- Deep Learning-Based Hierarchical Delineation of Kidneys, Tumors, and Cysts in CT Images.- Cascade UNets for Kidney and Kidney Tumor Segmentation.- Cascaded nnU-Net for Kidney and Kidney Tumor Segmentation.- A Deep Learning Approach for the Segmentation of Kidney, Tumor and Cyst in Computed Tomography Scans.- Recursive learning reinforced by redefining the train and validation volumes of an Encoder-Decoder segmentation model.- Attention U-net for Kidney and Masses.- Advancing Kidney, Kidney Tumor, Cyst Segmentation: A Multi-Planner U-Net Approach for the KiTS23 Challenge.- 3D Segmentation of Kidneys, Kidney Tumors and Cysts on CT Images - KiTS23 Challenge.- Kidney and Kidney Tumor Segmentation via Transfer Learning.

Du kanske också är intresserad av

Del 14540

Otages

Nina Bouraoui, Pia Keßler

Häftad

139 kr

Del 13168

Kidney and Kidney Tumor Segmentation

Nicholas Heller, Fabian Isensee, Darya Trofimova, Resha Tejpaul, Nikolaos Papanikolopoulos, Christopher Weight

Häftad

789 kr

Del 11851

Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention

Luping Zhou, Nicholas Heller, Yiyu Shi, Yiming Xiao, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, X. Sharon Hu, Danny Chen, Matthieu Chabanas, Hassan Rivaz, Ingerid Reinertsen

Häftad

719 kr

Del 13003

Deep Generative Models, and Data Augmentation, Labelling, and Imperfections

Sandy Engelhardt, Ilkay Oksuz, Dajiang Zhu, Yixuan Yuan, Anirban Mukhopadhyay, Nicholas Heller, Sharon Xiaolei Huang, Hien Nguyen, Raphael Sznitman, Yuan Xue

Häftad

899 kr

Del 12446

Interpretable and Annotation-Efficient Learning for Medical Image Computing

Jaime Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo Cruz, Jose Pereira Amorim, Vishal Patel, Badri Roysam, Kevin Zhou, Steve Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi

Häftad

699 kr

Del 13602

Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery

Siva Teja Kakileti, Maria Gabrani, Geetha Manjunath, Michal Rosen-Zvi, Nathaniel Braman, Robert G. Schwartz, Alejandro F. Frangi, Pau-Choo Chung, Christopher Weight, Vekataraman Jagadish

Häftad

769 kr