کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6920606 | 1447925 | 2018 | 26 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Automatic detection and segmentation of brain metastases on multimodal MR images with a deep convolutional neural network
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Automatic detection and segmentation of brain metastases on multimodal MR images with a deep convolutional neural network Automatic detection and segmentation of brain metastases on multimodal MR images with a deep convolutional neural network](/preview/png/6920606.png)
چکیده انگلیسی
Stereotactic treatments are today the reference techniques for the irradiation of brain metastases in radiotherapy. The dose per fraction is very high, and delivered in small volumes (diameter <1â¯cm). As part of these treatments, effective detection and precise segmentation of lesions are imperative. Many methods based on deep-learning approaches have been developed for the automatic segmentation of gliomas, but very little for that of brain metastases. We adapted an existing 3D convolutional neural network (DeepMedic) to detect and segment brain metastases on MRI. At first, we sought to adapt the network parameters to brain metastases. We then explored the single or combined use of different MRI modalities, by evaluating network performance in terms of detection and segmentation. We also studied the interest of increasing the database with virtual patients or of using an additional database in which the active parts of the metastases are separated from the necrotic parts. Our results indicated that a deep network approach is promising for the detection and the segmentation of brain metastases on multimodal MRI.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Biology and Medicine - Volume 95, 1 April 2018, Pages 43-54
Journal: Computers in Biology and Medicine - Volume 95, 1 April 2018, Pages 43-54
نویسندگان
Odelin Charron, Alex Lallement, Delphine Jarnet, Vincent Noblet, Jean-Baptiste Clavier, Philippe Meyer,