The annotation of the tumour from medical scans is a crucial step in nephroblastoma treatment. Therefore, an accurate and reliable segmentation method is needed to facilitate the evaluation and the treatments of the tumour. The proposed method serves this purpose by performing the segmentation of nephroblastoma in MRI scans. The segmentation is performed by adapting and a 2D free hand drawing tool to select a region of interest in the scan slices. Results from 24 patients show a mean root-mean-square error of 0.0481±0.0309, an average Dice coefficient of 0.9060±0.0549 and an average accuracy of 99.59% ±0.0039. Thus the proposed method demonstrated an effective agreement with manual annotations
As an important organ of the urinary system, the kidney focuses on generating urine, purifying the b...
peer reviewedIn this research project, we describe an application of statistical shape analysis. In ...
Wilms' tumor is one of the most frequent malignant solid tumors in childhood. Accurate segmentation ...
Le néphroblastome (ou tumeur de Wilms) est la tumeur rénale maligne la plus fréquemment rencontrée c...
Das Nephroblastom ist der häufigste Nierentumor bei pädiatrischen Patienten. Fortschritte der diagno...
Nephroblastoma (or Wilms' tumor) affects the kidney and is the most common childhood abdominal cance...
International audienceImage segmentation is a hot topic in image processing re- search. Most of the ...
The image recognotion and the classification of objects according to the images are more in focus of...
Abstract. The image recognotion and the classification of objects according to the images are more i...
Medical Image Segmentation is a routine task in various clinical settings. There is a great interest...
International audienceMost often, image segmentation is not fully automated and a user is required t...
Neuroblastoma is one of the most common cancers in children, accounting for 15% of pediatric cancer ...
Wilms’ Tumor (or nephroblastoma) is the most common malignant tumor of kidney in children. With diag...
This article presents the concept of a complex system for automatic detection of kidneys and kidney ...
Abstract Background Image segmentation is an essential and non trivial task in computer vision and m...
As an important organ of the urinary system, the kidney focuses on generating urine, purifying the b...
peer reviewedIn this research project, we describe an application of statistical shape analysis. In ...
Wilms' tumor is one of the most frequent malignant solid tumors in childhood. Accurate segmentation ...
Le néphroblastome (ou tumeur de Wilms) est la tumeur rénale maligne la plus fréquemment rencontrée c...
Das Nephroblastom ist der häufigste Nierentumor bei pädiatrischen Patienten. Fortschritte der diagno...
Nephroblastoma (or Wilms' tumor) affects the kidney and is the most common childhood abdominal cance...
International audienceImage segmentation is a hot topic in image processing re- search. Most of the ...
The image recognotion and the classification of objects according to the images are more in focus of...
Abstract. The image recognotion and the classification of objects according to the images are more i...
Medical Image Segmentation is a routine task in various clinical settings. There is a great interest...
International audienceMost often, image segmentation is not fully automated and a user is required t...
Neuroblastoma is one of the most common cancers in children, accounting for 15% of pediatric cancer ...
Wilms’ Tumor (or nephroblastoma) is the most common malignant tumor of kidney in children. With diag...
This article presents the concept of a complex system for automatic detection of kidneys and kidney ...
Abstract Background Image segmentation is an essential and non trivial task in computer vision and m...
As an important organ of the urinary system, the kidney focuses on generating urine, purifying the b...
peer reviewedIn this research project, we describe an application of statistical shape analysis. In ...
Wilms' tumor is one of the most frequent malignant solid tumors in childhood. Accurate segmentation ...