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بیست و نهمین کنفرانس مهندسی برق ایران
Integrated strategy for segment BRATS using co-operation of FCM and TL under abnormal behavior of noises
نویسندگان :
Arman Zafaranchi
1
Pedram Salehpoor
2
1- دانشگاه تبریز
2- دانشگاه تبریز
کلمات کلیدی :
BRATS challenge, Fuzzy c-means, U-net, Transfer Learning
چکیده :
The BRATS segmentation of MRI has attracted attention due to its practicality for directing the treatment of patients and pre diagnosing glioma tumors. However, this phenomenon faces with crucial challenges, i.e., contamination of MRI with abnormal noises, misleading the evaluation for accurate segmentation. Thereby, a fuzzy c-means structure is integrated with the transfer learning method to mitigate the disruptive impact of noise via proper feature extraction. Doing so, the results are compared with current practices surrounds BRATS segmentation to illuminate the contribution of the proposed method.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.7.2
