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1 Parent(s): 38fd365

Upload classification_template version 0.0.4

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Files changed (1) hide show
  1. configs/metadata.json +5 -4
configs/metadata.json CHANGED
@@ -1,7 +1,8 @@
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  {
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  "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20240725.json",
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- "version": "0.0.3",
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  "changelog": {
 
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  "0.0.3": "update to huggingface hosting",
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  "0.0.2": "update large file yml",
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  "0.0.1": "Initial version"
@@ -14,9 +15,9 @@
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  "pyyaml": "6.0.2"
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  },
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  "supported_apps": {},
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- "name": "Classification Template",
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- "task": "Classification Template in 2D images",
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- "description": "This is a template bundle for classifying in 2D, take this as a basis for your own bundles.",
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  "authors": "Yun Liu",
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  "copyright": "Copyright (c) 2023 MONAI Consortium",
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  "network_data_format": {
 
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  {
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  "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20240725.json",
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+ "version": "0.0.4",
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  "changelog": {
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+ "0.0.4": "enhanced metadata with improved descriptions and task specification",
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  "0.0.3": "update to huggingface hosting",
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  "0.0.2": "update large file yml",
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  "0.0.1": "Initial version"
 
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  "pyyaml": "6.0.2"
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  },
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  "supported_apps": {},
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+ "name": "Medical Image Classification Template",
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+ "task": "Template for 2D Medical Image Classification",
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+ "description": "A comprehensive template for developing 2D medical image classification models, featuring a modular architecture and standardized training pipeline. The template supports single-channel 128x128 pixel input images and outputs 4-class probability distributions, serving as a foundation for custom medical image classification tasks.",
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  "authors": "Yun Liu",
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  "copyright": "Copyright (c) 2023 MONAI Consortium",
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  "network_data_format": {