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HistoSeg

imported

software/histoseg

HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation masks from histopathological images with greater accuracy. This…

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
attention-mechanism · deeplab-v3-plus · dice-loss · focal-loss · glas · histological-image-segmentation · histological-images · histology-images
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

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sources
  1. api.github.com/repos/saadwazir/HistoSeg
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2025-04-11, 26 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

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/v1/entries/59.json→ .entries["histoseg"]

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