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Releases: radiuma-com/PySERA

PySERA v2.1.5

21 Nov 18:45
@fsonya88 fsonya88

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v2.1.5

November 21, 2025

Commit: 5943e20

Bug Fixes

Assets 2
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PySERA v2.1.4

19 Nov 20:03
@fsonya88 fsonya88

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v2.1.4

November 19, 2025

Commit: ab80fa2

Bug Fixes

  • Fixed minor issues related to RT-STRUCT handling
  • Updated logic to use Instance Series UID for RT-STRUCT files to improve consistency and compatibility
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PySERA v2.1.3

19 Nov 20:01
@fsonya88 fsonya88

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v2.1.3

November 7, 2025

Commit: 619225f8

Bug Fixes

  • Fixed minor bugs affecting runtime stability
  • Modified default CPU core allocation for optimized parallel processing
  • Removed additional unnecessary package dependencies
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PySERA v2.1.2

19 Nov 19:59
@fsonya88 fsonya88

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v2.1.2

October 24, 2025

Commit: 0e7c73f

Bug Fixes

  • Fixed critical bugs affecting feature extraction stability
  • Updated default parameter values for improved performance
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PySERA v1.0.2

19 Nov 19:50
@fsonya88 fsonya88

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v1.0.2

August 20, 2025

Commit: 1c42e6a

Bug Fixes

  • Changed package name from PySera to lowercase pysera for consistency across platforms.
  • Set default apply_preprocessing to False to prevent unintended preprocessing of ROIs.
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PySERA v1.0.1

19 Nov 19:47
@fsonya88 fsonya88

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v1.0.1

August 20, 2025

Commit: 25d8f71

Bug Fixes

  • Fixed bug in NumPy array file processing in in-memory mode, ensuring correct handling of array inputs.
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PySERA v1.0.0

19 Nov 19:45
@fsonya88 fsonya88

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** v1.0.0**

August 19, 2025

Commit: a488ba4

New Features

  • Optimized memory management by storing large RoIs as float32 NumPy arrays on disk with memory mapping, ensuring efficient management and preventing RAM overflows.
  • Enabled robust feature extraction for very small RoIs (fewer than 10 voxels) using epsilon corrections (ε) and synthetic augmentation, supporting cases as small as single-voxel inputs.
  • Corrected mathematical operations prone to errors (e.g., log(0), division by zero, sqrt of negatives, covariance matrix for single voxel, ConvexHull requirements, percentile estimation).
  • Improved data loading performance with smoother and more efficient handling of medical imaging inputs.
  • Extended supported input formats to include RT-Struct data paths and direct NumPy array inputs for both images and masks.
  • Enhanced Excel output with two new tabs: Parameters (record of all parameters used) and Warnings and Errors (detailed runtime issues).
  • Added flexible RoI selection controls:
    • roi_num: defines how many RoIs to select.
    • roi_selection_mode: supports per_Img and per_region strategies.
  • Exposed radiomics parameters as configurable arguments, replacing hardcoded values.
  • Implemented automatic padding to resolve image and mask dimension mismatches.
  • Improved RoI naming in Excel outputs by including both label and lesion information when available.
  • Performed codebase restructuring: renamed variables for clarity, modularized the implementation into a standalone library, updated requirements, and verified IBSI standard compliance.
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PySERA Initial Release

19 Nov 19:40
@fsonya88 fsonya88

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initial

New Features

  • Initial implementation of the PySERA radiomics pipeline. (#1)
  • Established core radiomics feature extraction functionality. (#1)
  • Added support for basic file formats. (#1)
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PySERA v2.1.1

19 Nov 19:56
@fsonya88 fsonya88

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v2.1.1

October 22, 2025

Commit: 250a1a0
v2.1.1

Bug Fixes

  • Resolved stability issues in batch processing
  • Fixed memory management in large dataset handling
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PySERA v0.0.0

19 Nov 19:42
@fsonya88 fsonya88

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v0.0.0

August 13, 2025

New Features

  • Standardized radiomics feature extraction per IBSI (Image Biomarker Standardisation Initiative) guidelines. (#3)

Bug Fixes

  • Addressed minor bugs in the initial radiomics pipeline implementation. (#3)
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