TensorFlow-MIL
importedsoftware/tensorflow-mil
TF Implementation of Multiple Instance Learning FCN.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/dancsalo/TensorFlow-MIL
- Documentation
- unknown
- Tags
- deep-neural-networks · microscopy · multiple-instance · tensorflow
- 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.
- experiment2deep-neural-networks · tensorflow
BreastGAN, second experiment.
- thyroid-usdeep-neural-networks · tensorflow
Evaluation of Thyroid Nodules Seen on Ultrasound Using Multi-task Deep Convolutional Neural Network (CNN)
- offaxis_autofocusdeep-neural-networks · microscopy
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…
- pyLattice_deepLearningmicroscopy · tensorflow
Deep Learning on Lattice Light-Sheet Data. Patch-Trained 3D U-Nets for Binary Segmentation. 3 Clear Jupyter Notebooks.
- autofocus_algorithm_for_microscopes_open_source_versionmicroscopy · tensorflow
My autofocus algorithm using computer vision embedded in an Android application.
- ASF-YOLOdeep-neural-networks
[IMAVIS] Official implementation of "ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation".
- api.github.com/repos/dancsalo/TensorFlow-MILretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2020-08-24, 90 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/47.json→ .entries["tensorflow-mil"]
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