Papers with Code 아카이브

Cell Detection

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하위 태스크

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평가표

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보존된 평가 기록

7

코드

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

https://github.com/roydenwa/cell-centroid-former

공식 코드

CellCentroidFormer: Combining Self-attention and Convolution for Cell Detection

https://github.com/roydenwa/pseudo-colorize-masked-cells

공식 코드

Self-supervised pseudo-colorizing of masked cells

https://github.com/sachinraja13/TabStructNet

공식 코드

Table Structure Recognition using Top-Down and Bottom-Up Cues

https://github.com/shahab-k93/cancer-and-smart-nanorobot

공식 코드

Simulation of Nanorobots with Artificial Intelligence and Reinforcement Learning for Advanced Cancer Cell Detection and Tracking

https://github.com/sigma10010/nuclei_cells_det

공식 코드

SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images

https://github.com/stardist/stardist

공식 코드

Cell Detection with Star-convex Polygons

https://github.com/superlc1995/diffusion-cell

공식 코드

Spatial Diffusion for Cell Layout Generation

https://github.com/tio-ikim/cellvit

공식 코드

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

https://github.com/tissueimageanalytics/cerberus

공식 코드

One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification

https://github.com/topoxlab/mcspatnet

공식 코드

Multi-Class Cell Detection Using Spatial Context Representation

https://github.com/uit-hdl/histology

공식 코드

A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images

https://github.com/vincentyuuuuuu/lsm-yolo

공식 코드

LSM-YOLO: A Compact and Effective ROI Detector for Medical Detection

https://github.com/waltafwilliams/amdet

공식 코드

AMDet: A Tool for Mitotic Cell Detection in Histopathology Slides

https://github.com/xuewenyuan/TGRNet

공식 코드

TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition

https://github.com/yaoxuexa/CNNCS

공식 코드

Cell Detection in Microscopy Images with Deep Convolutional Neural Network and Compressed Sensing

https://github.com/zipeizhao/pu-learning-for-cell-detection

공식 코드

Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotations

https://github.com/AnnabelChen51/CellTrack-R-CNN

CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy Images

https://github.com/Doyosae/Deep-Complex-Networks

On Complex Valued Convolutional Neural Networks

https://github.com/Doyosae/Deep_Complex_Networks

On Complex Valued Convolutional Neural Networks

https://github.com/Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection

On Complex Valued Convolutional Neural Networks

https://github.com/awslabs/hypergraph-tabular-lm

TABBIE: Pretrained Representations of Tabular Data

https://github.com/cycloneboy/pdf_table

An End-to-End Multi-Task Learning Model for Image-based Table Recognition

https://github.com/fzj-inm1-bda/neurips22-cell-seg

Contour Proposal Networks for Biomedical Instance Segmentation

https://github.com/hthierno/pytorch-stardist

Cell Detection with Star-convex Polygons

https://github.com/isgilman/CrossSection_DeepLearning

Cell Detection in Microscopy Images with Deep Convolutional Neural Network and Compressed Sensing

https://github.com/junlinguo/cellvit-kidney

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

https://github.com/kevinkayaks/deep-compression

Cell Detection in Microscopy Images with Deep Convolutional Neural Network and Compressed Sensing

https://github.com/lely475/softctm

SoftCTM: Cell detection by soft instance segmentation and consideration of cell-tissue interaction

https://github.com/nisargshah1999/DigestPath2019

Signet Ring Cell Detection With a Semi-supervised Learning Framework

https://github.com/omrijsharon/torchlex

On Complex Valued Convolutional Neural Networks

https://github.com/oyishyi/cell-detction-using-u-net-framework

Cell Segmentation by Combining Marker-Controlled Watershed and Deep Learning

https://github.com/philippendres/CellPilot

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

https://github.com/topoxlab/dataset-brca-m2c

Multi-Class Cell Detection Using Spatial Context Representation

https://github.com/uhlmanngroup/splinedist

Cell Detection with Star-convex Polygons

https://github.com/uit-hdl/hovernet-pipeline

A Pragmatic Machine Learning Approach to Quantify Tumor Infiltrating Lymphocytes in Whole Slide Images

https://github.com/ypeleg/komplex

On Complex Valued Convolutional Neural Networks

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.