FocusLiteNN
importedsoftware/focuslitenn
Official PyTorch and MATLAB implementations of our MICCAI 2020 paper "FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology"
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Repository
- github.com/icbcbicc/FocusLiteNN
- Documentation
- unknown
- Tags
- convolutional-neural-network · deep-learning · deep-neural-networks · digital-pathology · image-processing · image-quality-assessment · medical-image-processing · network-distillation · pathological-images · pytorch
- 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.
- ldct-benchmarkimage-processing · image-quality-assessment
A benchmark for deep learning-based low dose CT image denoising
- X-ray-classificationdeep-neural-networks · image-processing · medical-image-processing
X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2
- Cancer-Detection-from-Microscopic-Tissue-Images-with-Deep-Learningconvolutional-neural-network · medical-image-processing
Cancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels
- US-Metricsimage-quality-assessment
Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model
- ssvep-multi-task-learningconvolutional-neural-network · pytorch
Using multi-task learning to capture signals simultaneously from the fovea efficiently and the neighboring targets in the peripheral vision generate a visual response map. A calibration-free…
- modelhubdeep-neural-networks · medical-image-processing
A collection of deep learning models with a unified API.
- api.github.com/repos/icbcbicc/FocusLiteNNretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2025-07-22, 46 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as MIT, because GitHub's detector does not recognise open hardware licences.
Not yet verified by a human. Correct this record →
/v1/entries/47.json→ .entries["focuslitenn"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.