Determination of the informational content of symptoms in the dynamic processes of assess…
importedsoftware/determination-of-the-informational-content-of-symptoms-in-th
The study is devoted to substantiating the tactics of choosing the signs of the patient's condition for diagnostic decision-making on corrective medical intervention in mobile medicine. The aim of…
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- CC-BY-4.0(cc)
- Status
- unknown
- Maturity
- prototype
- Organization
- unknown
- Country
- unknown
- Homepage
- zenodo.org/records/5566958
- Repository
- unknown
- Documentation
- unknown
- Tags
- clinical-signs · information-technologies · mobile-medicine · digital-pathology · patient-care
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- ACMILdigital-pathology
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)
- aestetikdigital-pathology
AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data
- anonymize-slide-python3-guidigital-pathology
Delete the label image to deidentify a whole-slide image (WSI) with an optional GUI
- breast-epithelium-segmentationdigital-pathology
🌸 Breast epithelium segmentation through IHC-guided supervision
- cellseg_gsontoolsdigital-pathology
Feature extraction from GEOJson nuclei and tissue segmentation maps
- cellseg_models.pytorchdigital-pathology
Encoder-Decoder Cell and Nuclei segmentation models
- zenodo.org/records/5566958retrieved 2026-08-11 · via zenodo
Machine-imported from a Zenodo search for ""point of care" AND (device OR diagnostic) AND open". Zenodo deposition DOI 10.21303/2504-5679.2021.001976. Licence as declared on the deposition. Unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/28.json→ .entries["determination-of-the-informational-content-of-symptoms-in-th"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.