The decoder of PDAtt-Unet has two identical paths, the first path is for segmenting of Covid-19 infection and the second path is for segmenting of lungs. Each path consists of four decoder Basic ConvBlocks, four up-sampling blocks (bi-linear up-sampling) and four attention gates. More sp...
PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 infection segmentation from CT-scans 来自 dx.doi.org 喜欢 0 阅读量: 2 作者:F Bougourzi,C Distante,F Dornaika,A Taleb-Ahmed 摘要: A deep architecture for segmenting Covid-19 infections in CT scans is presented.It uses a ...
Implementation of deep learning framework -- Unet, using Keras The architecture was inspired by U-Net: Convolutional Networks for Biomedical Image Segmentation. Overview Data The original dataset is from isbi challenge, and I've downloaded it and done the pre-processing. You can find it in folder...
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Copied from stpete_ishii (+2,-0) Logs file_downloadDownload Logs check_circle Successfully ran in 5949.6s Accelerator GPU P100 Environment Latest Container Image Output 374.33 MB Time # Log Message 5325.0s1Epoch 109/120 5372.6s21/95 [...] - ETA: 42s - loss: 0.1840 - accuracy: 0.9345 2...
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