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Search results for cell biology
cell-biology
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33 search results found
Cellpose
⭐
1,198
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
Deepcell Tf
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373
Deep Learning Library for Single Cell Analysis
Usiigaci
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191
Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning
Deepliif
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126
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23]
Mediar
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83
(NeurIPS 2022 CellSeg Challenge - 1st Winner) Open source code for "MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy"
Cello
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53
CellO: Gene expression-based hierarchical cell type classification using the Cell Ontology
Countception
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42
Count-Ception: Counting by Fully Convolutional Redundant Counting
U Track
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36
Multiple-particle tracking designed to (1) track dense particle fields, (2) close gaps in particle trajectories resulting from detection failure, and (3) capture particle merging and splitting events resulting from occlusion or genuine aggregation and dissociation events
Pytorch_integrated_cell
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36
Integrated Cell project implemented in pytorch
Impartial
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28
Interactive deep learning whole-cell segmentation and thresholding using partial annotations
U Shape3d
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23
Detect morphological motifs, such as blebs, filopodia, and lamellipodia, from 3D images of surfaces, particularly images of cell surfaces.
U Track3d
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22
Multiple particle tracking in dense 3D particle fields complemented with dynamic regions of interest and trackability inferences for the automated exploration of large volumetric sequences.
Deepcycle
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19
Cell cycle inference in single-cell RNA-seq
Clo
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18
Communitiy-based Cell Line Ontology
Elefhant
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17
Ensemble Learning for Harmonization and Annotation of Single Cells (ELeFHAnt) provides an easy to use R package for users to annotate clusters of single cells, harmonize labels across single cell datasets to generate a unified atlas and infer relationship among celltypes between two datasets. It uses an ensemble of three machine learning classifiers 1) RF 2) SVM and 3) LR
Cellshape
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17
3D shape analysis using deep learning
Cellx Predict
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15
Explainable AI model of cell behavior
U Unwrap3d
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12
Transform 3D cell surfaces into different representations including topographic maps, 3D spheres, and 2D images for doing optimized quantification, data analysis and machine learning.
Actk
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11
Automated Cell Toolkit
Pcnadeep
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9
Track single cells and profile the cell cycle with PCNA fluorescence images
Kaggle_image Segm
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9
Simple tooling for instance segmentation aiming at cell biology...
Thmm
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8
A general Python framework for using hidden Markov models on binary trees or cell lineage trees.
Ml Cellsignal
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7
CellSignal (rxrx.ai) - NEURIPS 2019 COMPETITION
Hpa2021
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7
HPA2021 solution (3rd place)
Wc_lang
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7
Language for describing whole-cell models as reaction networks
Cmeanalysis
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7
clathrin-mediated endocytosis analysis
Sinfnet
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6
A collection of datasets and neural networks for microorganism image classification
Wc_rules
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6
Rule-based modeling for whole-cell models.
Epitools
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6
Quantifying 2D cell shape and epithelial tissue dynamics
U Probe
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6
Processing of raw ratiometric biosensor images (for example based on FRET) into fully corrected "ratio maps" or "activation maps" — images showing the localized activation of the biosensor.
Cytounet
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5
Deep Learning Based Cell Segmentation
U Inferforce
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5
u-inferforce (Traction Force Microscopy) is a MATLAB software that reconstructs traction forces of cells adhered on elastic gel doped with beads.
Wc_model_gen
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5
Framework for systematically and scalably designing whole-cell models from large datasets
1-33 of 33 search results
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