MahmudulAlam / Complete-Blood-Cell-Count-DatasetLinks
The complete blood count (CBC) dataset contains a total of 360 blood smear images of red blood cells (RBCs), white blood cells (WBCs), and Platelets with annotations.
☆91Updated 4 years ago
Alternatives and similar repositories for Complete-Blood-Cell-Count-Dataset
Users that are interested in Complete-Blood-Cell-Count-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
- In this repo, I've trained an object detection model to find the number of RBC, WBC, PLATELETS Count from the microscopic blood-smeared i…☆40Updated 4 years ago
- BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.☆408Updated 3 years ago
- White blood cell (WBC) image datasets☆70Updated 6 years ago
- Contains code for Semantic Segmentation of MoNuSeg 2018 challenge.☆41Updated 2 years ago
- This is a dataset of blood cells photos.☆16Updated 3 years ago
- The official implementation of CircleNet, MICCAI 2020☆85Updated last year
- ☆18Updated 3 years ago
- Implementing polyp segmentation using the U-Net and CVC-612 dataset.☆67Updated 3 years ago
- Official implementation of ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)☆124Updated last year
- ISIC-2018 Lesion Boundary Segmentation, Attribute Detection and Disease Classification☆13Updated 6 years ago
- This project shows an automated deep learning based computer vision algorithm that can provide a complete blood cell count (i.e. the numb…☆23Updated 3 years ago
- Breast Cancer Detection classifier built from the The Breast Cancer Histopathological Image Classification (BreakHis) dataset composed of…☆67Updated 4 years ago
- Core components of PathologyGo, the AI assistance system designed for histopathological inference.☆15Updated 5 years ago
- Ovarian cancer classification based on histopathology images - Transfer learning strategy☆27Updated 2 years ago
- This repository contains an implementation of a deep learning Mask R-CNN algorithm for nuclei segmentation from whole slide images of tis…☆17Updated 5 years ago
- This project uses YOLOv8 to perform tasks like classification, detection, and segmentation in medical images through a user-friendly inte…☆84Updated last year
- [ICIP'24 Lecture Presentation] Official implementation of "CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and…☆68Updated 3 weeks ago
- HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation mas…☆23Updated 2 months ago
- [PMB'2020] Melanoma Detection using Adversarial Training and Deep Transfer Learning☆32Updated last year
- WBC & RBC detection dataset from peripheral blood smears. https://aslan.md/blood-cell-detection-dataset/☆27Updated 2 years ago
- ☆19Updated last year
- Skin Lesion Segmentation using various Deep Learning technique☆28Updated 5 years ago
- Retinal Vessel Segmentation based on Fully Convolutional Networks☆37Updated 4 years ago
- Nuclei segmentation and classification (Cancer cells)☆26Updated last year
- Python tool for stitching histopathology tissue fragments into artificial whole-mounts.☆21Updated 3 months ago
- Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (Efficien…☆47Updated 4 years ago
- PyTorch implementation of several neural network models for cellular image segmentation☆47Updated 5 years ago
- 🦷 Automatic segmentation of the 8 incisors in panoramic dental radiographs using a model based approach.☆16Updated 3 years ago
- This repository contains adaptations of the state-of-the-art deep learning based object detection models for the detection of cell nuclei…☆27Updated 2 years ago