SegMNet

Category

Data & Standards

Subcategory

unknown

License

MIT(osi)

Status

dormant

Maturity

deployed

Organization

unknown

Country

unknown

Homepage

unknown

Repository

github.com/lskog7/SegMNet

Documentation

unknown

Tags

dl · kidney-tumor-segmentation · kits23 · medical-image-segmentation · ml · torch · torchvision

Regulatory

unknown

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

• DL_TimeSeries_Classification_ECG_Signal_Arrhythmiadl

  This project applies ANNs, CNNs, LSTMs, and a Hybrid Transformer to classify ECG signals from the MIT-BIH dataset for arrhythmia detection. Includes preprocessing, class balancing, model comparison,…

• adell-mritorch

  A deep learning model and training/testing/inference library in PyTorch for segmentation, classification, object detection and self-supervised learning using radiology data.

• DeepMotiftorch

  Deep Motif (ICLR16)/ Deep Motif Dashboard (PSB17): Visualizing Genomic Sequence Classifications

• LG-GNNtorch

  This repo is the official implementation of "Classification of Brain Disorders in rs-fMRI via Local-to-Global Graph Neural Networks" published in IEEE Transactions on Medical Imaging.

• spyrittorch

  A Python toolbox for deep image reconstruction, with emphasis on single-pixel imaging.

• NoiseEstimatorml

  Estimate maximum performance bounds based on experimental errors for ML datasets

1. api.github.com/repos/lskog7/SegMNet
   retrieved 2026-08-25 · via github-api

   Machine-imported from GitHub search. Last push 2024-12-29, 5 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

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