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Cell Segmentation

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하위 태스크: 1
평가표: 12
보존된 평가 기록: 20

Cell Segmentation is a task of splitting a microscopic image domain into segments, which represent individual instances of cells. It is a fundamental step in many biomedical studies, and it is regarded as a cornerstone of image-based cellular research. Cellular morphology is an indicator of a physiological state of the cell, and a well-segmented image can capture biologically relevant morphological information.

Source: Cell Segmentation by Combining Marker-controlled Watershed and Deep Learning

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://bitbucket.org/t_scherr/cell-segmentation-and-tracking

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Cell Segmentation and Tracking using CNN-Based Distance Predictions and a Graph-Based Matching Strategy

https://git.rwth-aachen.de/bcs/projects/tp/multiclass-yeast-seg

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Analysis of the performance of U-Net neural networks for the segmentation of living cells

https://git.scc.kit.edu/kit-loe-ge/embedtrack

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EmbedTrack -- Simultaneous Cell Segmentation and Tracking Through Learning Offsets and Clustering Bandwidths

https://github.com/15bonte/isl_segmentation

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Learning with minimal effort: leveraging in silico labeling for cell and nucleus segmentation

https://github.com/920232796/setr-pytorch

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ICOS Protein Expression Segmentation: Can Transformer Networks Give Better Results?

https://github.com/ChristophReich1996/Cell-DETR

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Attention-Based Transformers for Instance Segmentation of Cells in Microstructures

https://github.com/DebeshJha/2020-CBMS-DoubleU-Net

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DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation

https://github.com/EKirschbaum/DISCo

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DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging

https://github.com/FZJ-INM1-BDA/celldetection

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Contour Proposal Networks for Biomedical Instance Segmentation

https://github.com/Guzaiwang/CE-Net

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CE-Net: Context Encoder Network for 2D Medical Image Segmentation

https://github.com/JieZheng-ShanghaiTech/CellVTA

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CellVTA: Enhancing Vision Foundation Models for Accurate Cell Segmentation and Classification

https://github.com/Nuisal/cellseg1

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CellSeg1: Robust Cell Segmentation with One Training Image

https://github.com/Pablo1990/3D-deep-segmentation-protocol

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Single cell resolution 3D imaging and segmentation within intact live tissues

https://github.com/SAIL-GuoLab/Cell_Segmentation_and_Tracking

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Segmentation with Residual Attention U-Net and an Edge-Enhancement Approach Preserves Cell Shape Features

https://github.com/UCSB-VRL/Purdue3DCell

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Accurate 3D Cell Segmentation using Deep Feature and CRF Refinement

https://github.com/Vadori/CytoArk

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Mind the Gap: Evaluating Patch Embeddings from General-Purpose and Histopathology Foundation Models for Cell Segmentation and Classification

https://github.com/Yussef93/FewShotCellSegmentation

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Few-Shot Microscopy Image Cell Segmentation

https://github.com/abhineet123/ipsc_prediction

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Towards Early Prediction of Human iPSC Reprogramming Success

https://github.com/anthonyweidai/SvANet

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Exploiting Scale-Variant Attention for Segmenting Small Medical Objects

https://github.com/arbellea/DeepCellSeg

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Microscopy Cell Segmentation via Adversarial Neural Networks

https://github.com/arbellea/LSTM-UNet

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Microscopy Cell Segmentation via Convolutional LSTM Networks

https://github.com/christophreich1996/yeast-in-microstructures-dataset

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An Instance Segmentation Dataset of Yeast Cells in Microstructures

https://github.com/chula-pic-lab/chula-rbc-12-dataset

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Red Blood Cell Segmentation with Overlapping Cell Separation and Classification on Imbalanced Dataset

https://github.com/cmzuo11/dcca

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Deep Learning in Single-Cell Analysis

https://github.com/cosmoiknoslab/nulite

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NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and Classification

https://github.com/cpystan/psm

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Exploring Unsupervised Cell Recognition with Prior Self-activation Maps

https://github.com/dair-iitd/guided-prompting-sam

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Guided Prompting in SAM for Weakly Supervised Cell Segmentation in Histopathological Images

https://github.com/daniyanaj/dwinformer

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Medical Image Segmentation Using Directional Window Attention

https://github.com/ddrrnn123/casc-ai

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CASC-AI: Consensus-aware Self-corrective AI Agents for Noise Cell Segmentation

https://github.com/eduardchelebian/sefi

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Segmentation-free integration of nuclei morphology and spatial transcriptomics for retinal images

https://github.com/esgomezm/microscopy-dl-suite-tf

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Search for temporal cell segmentation robustness in phase-contrast microscopy videos

https://github.com/hrlblab/molecularel

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Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning

https://github.com/hustvl/lkcell

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LKCell: Efficient Cell Nuclei Instance Segmentation with Large Convolution Kernels

https://github.com/hvcl/ScribbleCont

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Scribble-supervised Cell Segmentation Using Multiscale Contrastive Regularization

https://github.com/hvcl/scribble2label

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Scribble2Label: Scribble-Supervised Cell Segmentation via Self-Generating Pseudo-Labels with Consistency

https://github.com/instanseg/instanseg

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InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentation

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