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本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Segment Anything in Medical Images
3D U-Net model for volumetric semantic segmentation written in pytorch
Efficient Deep Learning Systems course materials (HSE, YSDA)
The aim of this study is automatic semantic segmentation in one-shot panoramic x-ray image by using deep learning method with U-Net Model and binary image analysis in order to provide diagnostic in…
Using DUCK-Net for polyp image segmentation. ( Nature Scientific Reports 2023 )
Mask R-CNN for instance segmentation of panoramic X-ray images
SAM-Med2D: Bridging the Gap between Natural Image Segmentation and Medical Image Segmentation
A dataset and python-based pipeline for "An open-access dataset and nearly-automated pipeline for generating finite element models of human jaw".
The aim of this study is automatic semantic segmentation in one-shot panoramic x-ray image by using deep learning methods with U-Net Model and binary image analysis in order to provide diagnostic i…