deepslide
importedsoftware/deepslide
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework…
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- BMIRDS
- Country
- unknown
- Repository
- github.com/BMIRDS/deepslide
- Documentation
- unknown
- Tags
- cancer · histopathology-images · lung · medical-image-analysis · microscopy · pathology-image · resnet · sliding-windows
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- Nodule-CADxcancer · lung
Pulmonary nodules computer-aided diagnosis demo system.
- fast-stain-normalizationhistopathology-images
:star2: GPU-accelerated stain normalization command line tool
- MMIRmicroscopy · pathology-image
MMIR: Multimodal Image Registration
- offaxis_autofocusmicroscopy · resnet
The proposed hybrid model aims to deliver both aberration-free in-focus amplitude and phase reconstructions, while accurately predicting in-focus distances, from out-of-focus holograms. The tasks…
- Fast-permutation-entropysliding-windows
MATLAB script for efficiently computing values of permutation entropy from 1D time series in sliding windows
- FCEstsliding-windows
Methods for estimating time-varying functional connectivity (TVFC)
- api.github.com/repos/BMIRDS/deepslideretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-06-07, 515 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/16.json→ .entries["deepslide"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.