draaslan / blood-cell-detection-datasetLinks
WBC & RBC detection dataset from peripheral blood smears. https://aslan.md/blood-cell-detection-dataset/
☆27Updated 2 years ago
Alternatives and similar repositories for blood-cell-detection-dataset
Users that are interested in blood-cell-detection-dataset are comparing it to the libraries listed below
Sorting:
- Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verific…☆141Updated 2 years ago
- BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.☆411Updated 3 years ago
- Organoid Localization and Quantification Using Deep Convolutional Neural Networks☆26Updated 3 years ago
- Cancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels☆30Updated 5 years ago
- Usiigaci: stain-free cell tracking in phase contrast microscopy enabled by supervised machine learning☆195Updated 4 years ago
- Kaggle Competitions: Find the nuclei in divergent images to advance medical discovery☆16Updated 5 years ago
- BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from…☆104Updated 2 years ago
- Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area☆50Updated 4 years ago
- This is the repository for paper titled as "Convolutional neural network models for cancer type prediction based on gene expression".☆52Updated 6 years ago
- An implementation of Unet for pytorch designed for digital pathology segmentation☆124Updated 2 years ago
- Automated identification of cell boundaries from the pathological video data☆24Updated 6 years ago
- Awesome artificial intelligence in cancer diagnostics and oncology☆153Updated 2 years ago
- U-net based segmentation of nuclei in microscopy images☆53Updated 6 years ago
- PyTorch implementation of several neural network models for cellular image segmentation☆48Updated 5 years ago
- NuSeT: A Deep Learning Tool for Reliably Separating and Analyzing Crowded Cells☆20Updated 4 years ago
- CNN histopathologic tumor identifier.☆27Updated 4 years ago
- COVID-Net Open Source Initiative - Models and Data for COVID-19 Detection in Chest CT☆124Updated 2 years ago
- A neural network software for using Molecular labelling to improve pathological annotation of H and E tissues☆32Updated 5 months ago
- This repository contains adaptations of the state-of-the-art deep learning based object detection models for the detection of cell nuclei…☆26Updated 2 years ago
- Deep Learning Library for Single Cell Analysis☆460Updated 10 months ago
- The complete blood count (CBC) dataset contains a total of 360 blood smear images of red blood cells (RBCs), white blood cells (WBCs), an…☆91Updated 4 years ago
- Open source Python library for building bioimage analysis pipelines☆178Updated last week
- This repository contains UNet and ICNet implementations for semantic segmentation of nuclei images, from Kaggle's 2018 Data Science Bowl☆18Updated 6 years ago
- An open-source digital pathology based rapid image annotation tool☆79Updated last week
- 🔬 Code-free deep segmentation for computational pathology☆53Updated last year
- This repository is a summary of "AI for Medicine" lectured by Deeplearning.ai, Coursera. (https://www.coursera.org/specializations/ai-for…☆60Updated 5 years ago
- Application of Deep Learning to the segmentation of medical images☆44Updated 2 years ago
- DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep …☆36Updated 4 years ago
- The U-Net Segmentation plugin for Fiji (ImageJ)☆88Updated 2 years ago
- A pipeline to segment tissue from the background in histological images☆70Updated 2 years ago