{"id":26533,"date":"2024-02-26T03:24:23","date_gmt":"2024-02-26T04:24:23","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%aa%d9%82%d8%b3%db%8c%d9%85-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d9%88%d9%85%d9%88%d8%b1-%d8%b3%d9%87-%d8%a8%d8%b9%d8%af%db%8c-%d8%ae%d9%88%d8%af%da%a9%d8%a7%d8%b1-%d8%a8\/"},"modified":"2024-02-26T03:24:32","modified_gmt":"2024-02-26T04:24:32","slug":"%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%aa%d9%82%d8%b3%db%8c%d9%85-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d9%88%d9%85%d9%88%d8%b1-%d8%b3%d9%87-%d8%a8%d8%b9%d8%af%db%8c-%d8%ae%d9%88%d8%af%da%a9%d8%a7%d8%b1-%d8%a8","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%d9%85%d9%82%d8%a7%d9%84%d9%87-%d8%aa%d9%82%d8%b3%db%8c%d9%85-%d8%a8%d9%86%d8%af%db%8c-%d8%aa%d9%88%d9%85%d9%88%d8%b1-%d8%b3%d9%87-%d8%a8%d8%b9%d8%af%db%8c-%d8%ae%d9%88%d8%af%da%a9%d8%a7%d8%b1-%d8%a8\/","title":{"rendered":"\u0645\u0642\u0627\u0644\u0647 \u062a\u0642\u0633\u06cc\u0645 \u0628\u0646\u062f\u06cc \u062a\u0648\u0645\u0648\u0631 \u0633\u0647 \u0628\u0639\u062f\u06cc \u062e\u0648\u062f\u06a9\u0627\u0631 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 PatchGAN \u0645\u06a9\u0639\u0628 \u0645\u0648\u0642\u062a\u06cc (TCUP-GAN)"},"content":{"rendered":"<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc <\/td>\n<td>Automated 3D Tumor Segmentation using Temporal Cubic PatchGAN (TCuP-GAN)<\/td>\n<\/tr>\n<tr>\n<td>\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc <\/td>\n<td>\u0645\u0642\u0627\u0644\u0647 \u062a\u0642\u0633\u06cc\u0645 \u0628\u0646\u062f\u06cc \u062a\u0648\u0645\u0648\u0631 \u0633\u0647 \u0628\u0639\u062f\u06cc \u062e\u0648\u062f\u06a9\u0627\u0631 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 PatchGAN \u0645\u06a9\u0639\u0628 \u0645\u0648\u0642\u062a\u06cc (TCUP-GAN)<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u0648\u06cc\u0633\u0646\u062f\u06af\u0627\u0646 <\/td>\n<td>Kameswara Bharadwaj Mantha, Ramanakumar Sankar, Lucy Fortson<\/td>\n<\/tr>\n<tr>\n<td>\u0632\u0628\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 <\/td>\n<td>\u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n<\/tr>\n<tr>\n<td>\u0641\u0631\u0645\u062a \u0645\u0642\u0627\u0644\u0647: <\/td>\n<td>PDF<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a<\/td>\n<td>0<\/td>\n<\/tr>\n<tr>\n<td>\u062f\u0633\u062a\u0647 \u0628\u0646\u062f\u06cc \u0645\u0648\u0636\u0648\u0639\u0627\u062a  <\/td>\n<td>Image and Video Processing,Computer Vision and Pattern Recognition,Machine Learning,\u067e\u0631\u062f\u0627\u0632\u0634 \u062a\u0635\u0648\u06cc\u0631 \u0648 \u0641\u06cc\u0644\u0645 , \u062f\u06cc\u062f \u0631\u0627\u06cc\u0627\u0646\u0647 \u0648 \u062a\u0634\u062e\u06cc\u0635 \u0627\u0644\u06af\u0648\u06cc , \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 ,<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a    <\/td>\n<td>Submitted 23 November, 2023; originally announced November 2023. , Comments: Submitted as a short paper to the proceedings of the 2023 Brain Tumor Segmentation (BraTS) Challenge<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc    <\/td>\n<td>\u0627\u0631\u0633\u0627\u0644 \u0634\u062f\u0647 23 \u0646\u0648\u0627\u0645\u0628\u0631 2023 \u061b\u062f\u0631 \u0627\u0628\u062a\u062f\u0627 \u0646\u0648\u0627\u0645\u0628\u0631 2023 \u0627\u0639\u0644\u0627\u0645 \u0634\u062f. \u060c \u0646\u0638\u0631\u0627\u062a: \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u06a9\u0648\u062a\u0627\u0647 \u0628\u0647 \u0645\u062c\u0645\u0648\u0639\u0647 \u0645\u0642\u0627\u0644\u0627\u062a \u062a\u0642\u0633\u06cc\u0645 \u062a\u0648\u0645\u0648\u0631 \u0645\u063a\u0632 2023 (BRATS) \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0686\u06a9\u06cc\u062f\u0647<\/h2>\n<p style=\"direction:ltr;\">Development of robust general purpose 3D segmentation frameworks using the latest deep learning techniques is one of the active topics in various bio-medical domains. In this work, we introduce Temporal Cubic PatchGAN (TCuP-GAN), a volume-to-volume translational model that marries the concepts of a generative feature learning framework with Convolutional Long Short-Term Memory Networks (LSTMs), for the task of 3D segmentation. We demonstrate the capabilities of our TCuP-GAN on the data from four segmentation challenges (Adult Glioma, Meningioma, Pediatric Tumors, and Sub-Saharan Africa subset) featured within the 2023 Brain Tumor Segmentation (BraTS) Challenge and quantify its performance using LesionWise Dice similarity and $95\\%$ Hausdorff Distance metrics. We demonstrate the successful learning of our framework to predict robust multi-class segmentation masks across all the challenges. This benchmarking work serves as a stepping stone for future efforts towards applying TCuP-GAN on other multi-class tasks such as multi-organelle segmentation in electron microscopy imaging.<\/p>\n<h2>\u0686\u06a9\u06cc\u062f\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n<p>\u062a\u0648\u0633\u0639\u0647 \u0686\u0627\u0631\u0686\u0648\u0628 \u0647\u0627\u06cc \u062a\u0642\u0633\u06cc\u0645 \u0628\u0646\u062f\u06cc \u0633\u0647 \u0628\u0639\u062f\u06cc \u0647\u062f\u0641 \u06a9\u0644\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u062e\u0631\u06cc\u0646 \u062a\u06a9\u0646\u06cc\u06a9 \u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u06cc\u06a9\u06cc \u0627\u0632 \u0645\u0628\u0627\u062d\u062b \u0641\u0639\u0627\u0644 \u062f\u0631 \u062d\u0648\u0632\u0647 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u067e\u0632\u0634\u06a9\u06cc \u0627\u0633\u062a.\u062f\u0631 \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u060c \u0645\u0627 Patchgan \u0645\u06a9\u0639\u0628 \u0645\u0648\u0642\u062a\u06cc (TCUP-GAN) \u060c \u06cc\u06a9 \u0645\u062f\u0644 \u062a\u0631\u062c\u0645\u0647 \u062d\u062c\u0645 \u0628\u0647 \u062d\u062c\u0645 \u0631\u0627 \u0645\u0639\u0631\u0641\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0628\u0627 \u0645\u0641\u0627\u0647\u06cc\u0645 \u06cc\u06a9 \u0686\u0627\u0631\u0686\u0648\u0628 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0648\u06cc\u0698\u06af\u06cc \u062a\u0648\u0644\u06cc\u062f\u06cc \u0628\u0627 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u062d\u0627\u0641\u0638\u0647 \u06a9\u0648\u062a\u0627\u0647 \u0645\u062f\u062a \u06a9\u0648\u062a\u0627\u0647 \u0645\u062f\u062a (LSTM) \u0627\u0632\u062f\u0648\u0627\u062c \u0645\u06cc \u06a9\u0646\u062f \u060c \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u06a9\u0627\u0631 \u0633\u0647 \u0628\u0639\u062f\u06cc\u062a\u0642\u0633\u06cc\u0645 \u0628\u0646\u062f\u06cc\u0645\u0627 \u0642\u0627\u0628\u0644\u06cc\u062a \u0647\u0627\u06cc TCUP-GAN \u062e\u0648\u062f \u0631\u0627 \u062f\u0631 \u0645\u0648\u0631\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0686\u0647\u0627\u0631 \u0686\u0627\u0644\u0634 \u062a\u0642\u0633\u06cc\u0645 \u0628\u0646\u062f\u06cc (\u06af\u0644\u06cc\u0648\u0645\u0627 \u0628\u0632\u0631\u06af\u0633\u0627\u0644\u0627\u0646 \u060c \u0645\u0646\u0646\u0698\u06cc\u0648\u0645\u0627 \u060c \u062a\u0648\u0645\u0648\u0631\u0647\u0627\u06cc \u06a9\u0648\u062f\u06a9\u0627\u0646 \u0648 \u0632\u06cc\u0631 \u0645\u062c\u0645\u0648\u0639\u0647 \u0647\u0627\u06cc \u0632\u06cc\u0631 \u0635\u062d\u0631\u0627\u06cc \u0622\u0641\u0631\u06cc\u0642\u0627) \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u06a9\u0647 \u062f\u0631 \u0628\u062e\u0634 \u062a\u0642\u0633\u06cc\u0645 \u062a\u0648\u0645\u0648\u0631 \u0645\u063a\u0632 2023 (BRATS) \u0628\u0647 \u0686\u0627\u0644\u0634 \u06a9\u0634\u06cc\u062f\u0647 \u0634\u062f\u0647 \u0648 \u0639\u0645\u0644\u06a9\u0631\u062f \u0622\u0646 \u0631\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u062a\u0627\u0646\u0647\u0627\u06cc \u0636\u0645\u06cc\u0645\u0647 \u06a9\u0645\u06cc\u062a \u0645\u06cc \u06a9\u0646\u062f.\u0634\u0628\u0627\u0647\u062a \u0648 \u0645\u0639\u06cc\u0627\u0631\u0647\u0627\u06cc \u0645\u0633\u0627\u0641\u062a \u0641\u0627\u0635\u0644\u0647 Hausdorff 95 $.\u0645\u0627 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0648\u0641\u0642\u06cc\u062a \u0622\u0645\u06cc\u0632 \u0686\u0627\u0631\u0686\u0648\u0628 \u062e\u0648\u062f \u0631\u0627 \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0645\u0627\u0633\u06a9 \u0647\u0627\u06cc \u062a\u0642\u0633\u06cc\u0645 \u0628\u0646\u062f\u06cc \u0686\u0646\u062f \u0637\u0628\u0642\u0647 \u0642\u0648\u06cc \u062f\u0631 \u062a\u0645\u0627\u0645 \u0686\u0627\u0644\u0634 \u0647\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u06cc\u0645.\u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0645\u0639\u06cc\u0627\u0631 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u067e\u0644\u0647 \u067e\u0644\u0647 \u0627\u06cc \u0628\u0631\u0627\u06cc \u062a\u0644\u0627\u0634 \u0647\u0627\u06cc \u0622\u06cc\u0646\u062f\u0647 \u062f\u0631 \u062c\u0647\u062a \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 TCUP-GAN \u062f\u0631 \u0633\u0627\u06cc\u0631 \u06a9\u0627\u0631\u0647\u0627\u06cc \u0686\u0646\u062f \u0637\u0628\u0642\u0647 \u0645\u0627\u0646\u0646\u062f \u062a\u0642\u0633\u06cc\u0645 \u0628\u0646\u062f\u06cc \u0686\u0646\u062f \u0627\u0646\u062f\u0627\u0645 \u062f\u0631 \u062a\u0635\u0648\u06cc\u0631\u0628\u0631\u062f\u0627\u0631\u06cc \u0645\u06cc\u06a9\u0631\u0648\u0633\u06a9\u0648\u067e \u0627\u0644\u06a9\u062a\u0631\u0648\u0646\u06cc \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<table class=\"table table-bordered table-primary\">\r\n<tr>\r\n\t<td>\r\n\t\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0632\u0628\u0627\u0646 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc \u0627\u0633\u062a.\r\n\t<\/td>\r\n<\/tr>\r\n\t\r\n<tr>\r\n\t<td>\r\n     \u0628\u0631\u0627\u06cc \u0633\u0641\u0627\u0631\u0634 \u062a\u0631\u062c\u0645\u0647 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0647 \u06cc\u06a9\u06cc \u0627\u0632 \u0631\u0648\u0634 \u0647\u0627\u06cc \u062a\u0645\u0627\u0633\u060c \u067e\u06cc\u0627\u0645\u06a9\u060c \u062a\u0644\u06af\u0631\u0627\u0645 \u0648 \u06cc\u0627 \u0648\u0627\u062a\u0633 \u0627\u067e \u0628\u0627 \u0634\u0645\u0627\u0631\u0647 \u0632\u06cc\u0631 \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f:\r\n\t<br \/><br \/>\r\n\t09395106248\r\n\t\t\r\n\t\t\r\n\t<br \/><br \/>\r\n\t\t\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0634\u0631\u0627\u06cc\u0637 \u062a\u0631\u062c\u0645\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u0632\u06cc\u0631 \u0627\u0633\u062a:\r\n\t\t<br \/>\r\n\t\t<ul>\r\n\t\t<li>\r\n\t\t\u0642\u06cc\u0645\u062a \u0647\u0631 \u0635\u0641\u062d\u0647 \u062a\u0631\u062c\u0645\u0647 \u062f\u0631 \u062d\u0627\u0644 \u062d\u0627\u0636\u0631 40 \u0647\u0632\u0627\u0631 \u062a\u0648\u0645\u0627\u0646 \u0645\u06cc \u0628\u0627\u0634\u062f. \r\n\t\t<\/li>\r\n\t\t<li>\r\n\t\t\u062a\u062d\u0648\u06cc\u0644 \u0645\u0642\u0627\u0644\u0647 \u062a\u0631\u062c\u0645\u0647 \u0634\u062f\u0647 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u0648\u0631\u062f \u0645\u06cc \u0628\u0627\u0634\u062f.\r\n\t\t<\/li>\r\n\t\t<li>\r\n\t\t\u0632\u0645\u0627\u0646 \u062a\u062d\u0648\u06cc\u0644 \u062a\u0631\u062c\u0645\u0647 \u0645\u0642\u0627\u0644\u0647 \u062f\u0631 \u0635\u0648\u0631\u062a \u062f\u0627\u0634\u062a\u0646 \u062a\u0639\u062f\u0627\u062f \u0635\u0641\u062d\u0627\u062a \u0639\u0627\u062f\u06cc \u0628\u06cc\u0646 3 \u062a\u0627 5 \u0631\u0648\u0632 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.\r\n\t\t<\/li>\r\n\t\t\r\n\t\t<li>\r\n\t\t\u06a9\u06cc\u0641\u06cc\u062a \u062a\u0631\u062c\u0645\u0647 \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627 \u0645\u06cc \u0628\u0627\u0634\u062f. \u0645\u0642\u0627\u0644\u0647 \u0641\u0642\u0637 \u062a\u0648\u0633\u0637 \u0645\u062a\u0631\u062c\u0645\u06cc\u0646 \u0628\u0627 \u0645\u062f\u0631\u06a9 \u062f\u0627\u0646\u0634\u06af\u0627\u0647\u06cc \u0645\u062a\u0631\u062c\u0645\u06cc \u062a\u0631\u062c\u0645\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.\r\n\t\t<\/li>\r\n\t\t<li>\r\n\t\t\u06a9\u0644\u06cc\u0647 \u062c\u062f\u0627\u0648\u0644 \u0648 \u0641\u0631\u0645\u0648\u0644 \u0647\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u0641\u0627\u06cc\u0644 \u062a\u062d\u0648\u06cc\u0644\u06cc \u0648\u0631\u062f \u062f\u0631\u062c \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.\r\n\t\t<\/li>\r\n\t<\/td>\r\n\t\r\n\t\r\n<\/tr>\r\n<\/table>\r\n\r\n\r\n\n","protected":false},"excerpt":{"rendered":"<p>\u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc Automated 3D Tumor Segmentation using Temporal Cubic PatchGAN (TCuP-GAN) \u0639\u0646\u0648\u0627\u0646 \u0645\u0642\u0627\u0644\u0647 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc \u0645\u0642\u0627\u0644\u0647 \u062a\u0642\u0633\u06cc\u0645 \u0628\u0646\u062f\u06cc 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