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DeepHealth Annotate is a web-based tool for viewing and annotating DICOM images. Annotation metadata can be exported in JSON format to be used for a variety of purposes, such as creating training input for deep learning models that use bounding box algorithms.
Disentangle Loss Evaluation
Mask2Former for Parsing (M2FP)
Intra-Batch Supervision applied to Mask2Former
Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)
18 MNIST-like Datasets for 2D and 3D Biomedical Image Classification: try "pip install medmnist"!
Mask Classification-based method for Polyps Segmentation and Detection (EndoCV 2022 challenge)
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Copy of assignments submitted to the course-work of DL_425
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