Abdomen-CT-Image-Segmentation
importedsoftware/abdomen-ct-image-segmentation
The code for the paper Improving CT Image Tumor Segmentation Through Deep Supervision and Attentional Gates.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- attention · medical-imaging · nnu-net · segmentation
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- totalspinesegnnu-net · segmentation
Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterative Algorithm.
- Medical-Transformerattention · medical-imaging · segmentation
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
- nnunet-ms-segmentationnnu-net
This repository contains an adapatation of the nnU-Net code to the detection of new or evolving Multiple Sclerosis lesions in FLAIR Magnetic Resonance images.
- AttnSleepattention
[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"
- Brainwaveattention
Brainwave is a state-of-the-art neural decoder that transforms electroencephalogram (EEG) and brain signals into multimodal outputs including images, videos, and text.
- CTNetattention
CTNet: A Convolutional Transformer Network for EEG-Based Motor Imagery Classification
- api.github.com/repos/tureckova/Abdomen-CT-Image-Segmentationretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2021-04-19, 32 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 →
/v1/entries/24.json→ .entries["abdomen-ct-image-segmentation"]
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