This is an overview paper describing the data and evaluation scheme of the VISCERAL Segmentation Challenge at ISBI 2015. The challenge was organized on a cloud-based virtual- machine environment, where each participant could develop and submit their algorithms. The dataset contains up to 20 anatomical structures annotated in a training and a test set consisting of CT and MR images with and without contrast enhancement. The test-set is not accessible to participants, and the organizers run the virtual-machines with submitted segmentation methods on the test data. The results of the evaluation are then presented to the participant, who can opt to make it public on the challenge leaderboard displaying 20 segmentation quality metrics per-organ ...
In conjunction with the ISBI 2015 conference, we organized a longitudinal lesion segmentation challe...
This book presents the VISCERAL project benchmarks for analysis and retrieval of 3D medical images (...
Abdominal multi-organ segmentation is one of the most attractive topics in the field of medical imag...
This is an overview paper describing the data and evaluation scheme of the VISCERAL Segmentation Cha...
VISCERAL (Visual Concept Extraction Challenge in Radiology) aims to organize series of benchmarks on...
The VISual Concept Extraction challenge in RAdioLogy (VISCERAL) project has been developed as a clou...
Variations in the shape and appearance of anatomical structures in medical images are often relevant...
Variations in the shape and appearance of anatomical structures in medical images are often relevant...
Systematic evaluation has had a strong impact on many data analysis domains, for example, TREC and C...
Since during clinical routine, only a small portion of increasing amounts of medical imaging data ar...
International audienceSegmentation of abdominal organs has been a comprehensive, yet unresolved, res...
Abdominal organ segmentation plays an important role in clinical practice, and to some extent, it se...
In conjunction with the ISBI 2015 conference, we organized a longitudinal lesion segmentation challe...
Segmentation of abdominal organs has been a comprehensive, yet unresolved, research field for many y...
Segmentation of abdominal organs has been a comprehensive, yet unresolved, research field for many y...
In conjunction with the ISBI 2015 conference, we organized a longitudinal lesion segmentation challe...
This book presents the VISCERAL project benchmarks for analysis and retrieval of 3D medical images (...
Abdominal multi-organ segmentation is one of the most attractive topics in the field of medical imag...
This is an overview paper describing the data and evaluation scheme of the VISCERAL Segmentation Cha...
VISCERAL (Visual Concept Extraction Challenge in Radiology) aims to organize series of benchmarks on...
The VISual Concept Extraction challenge in RAdioLogy (VISCERAL) project has been developed as a clou...
Variations in the shape and appearance of anatomical structures in medical images are often relevant...
Variations in the shape and appearance of anatomical structures in medical images are often relevant...
Systematic evaluation has had a strong impact on many data analysis domains, for example, TREC and C...
Since during clinical routine, only a small portion of increasing amounts of medical imaging data ar...
International audienceSegmentation of abdominal organs has been a comprehensive, yet unresolved, res...
Abdominal organ segmentation plays an important role in clinical practice, and to some extent, it se...
In conjunction with the ISBI 2015 conference, we organized a longitudinal lesion segmentation challe...
Segmentation of abdominal organs has been a comprehensive, yet unresolved, research field for many y...
Segmentation of abdominal organs has been a comprehensive, yet unresolved, research field for many y...
In conjunction with the ISBI 2015 conference, we organized a longitudinal lesion segmentation challe...
This book presents the VISCERAL project benchmarks for analysis and retrieval of 3D medical images (...
Abdominal multi-organ segmentation is one of the most attractive topics in the field of medical imag...