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deconver

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software/deconver

Official PyTorch Implementation of "Deconver: A Deconvolutional Network for Medical Image Segmentation"

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

deconver project image
GitHub preview card for pashtari/deconver. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
active
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
arxiv.org/abs/2504.00302
Repository
github.com/pashtari/deconver
Documentation
unknown
Tags
deconvolution · deep-learning · medical-image-segmentation · segmentation · self-attention · transformer
Regulatory
unknown
similar by tags

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  • DAEFormermedical-image-segmentation · segmentation · transformer

    [MICCAI 2023] DAE-Former: Dual Attention-guided Efficient Transformer for Medical Image Segmentation

  • Mobile-U-ViTmedical-image-segmentation · segmentation · transformer

    [ACM MM 2025] Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation

  • ADASTself-attention

    [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"

  • AttnSleepself-attention

    [TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

  • TC-CoNetmedical-image-segmentation · transformer

    [Computers in Biology and Medicine - 2023] This is an official PyTorch implementation for Collaborative networks of Transformers and Convolutional neural networks are powerful and versatile learners…

sources
  1. api.github.com/repos/pashtari/deconver
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2026-08-14, 7 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/63.json→ .entries["deconver"]

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