deadskull7 / White-Blood-Cells-Classification
An important problem in blood diagnostics is classifying different types of blood cells. Various samples of dead WBCs have been used to identify the nuclearity (mononuclear or polynuclear) of them and classified as well using Convolutional Neural Networks . The WBCs in the data set are lymphocytes , monocytes , neutrophils , eosinophils , basoph…
☆16Updated 6 years ago
Alternatives and similar repositories for White-Blood-Cells-Classification:
Users that are interested in White-Blood-Cells-Classification are comparing it to the libraries listed below
- CNN histopathologic tumor identifier.☆27Updated 3 years ago
- Skin lesion detection from dermoscopic images using Convolutional Neural Networks☆57Updated 6 years ago
- Cancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels☆30Updated 4 years ago
- Ai powered web app to detect Metastatic Cancer and Invasive Ductal Carcinoma in histopathology tissue images.☆23Updated 5 years ago
- Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data☆29Updated 5 years ago
- Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset☆83Updated 2 years ago
- WBC & RBC detection dataset from peripheral blood smears. https://aslan.md/blood-cell-detection-dataset/☆25Updated last year
- Skin Lesion Analysis Towards Melanoma Detection☆37Updated 7 years ago
- This repositary consists of all the solutions of the Quiz and Programming Assignments for the "AI for Medical Diagnosis" in Coursera by d…☆27Updated 4 years ago
- I have completed this specialization from Coursera by deeplearning.ai. I have uploaded the solutions of the assignments in this repo.☆18Updated 4 years ago
- Image Classifier using Transfer Learning☆23Updated 7 years ago
- Using pre-trained model to classify images to detect cancerous cells☆28Updated 6 years ago
- Diabetic Retinopathy is a very common eye disease in people having diabetes. This disease can lead to blindness if not taken care of in e…☆31Updated 5 years ago
- A team of researchers from Qatar University, Doha, Qatar and the University of Dhaka, Bangladesh along with their collaborators from Paki…☆15Updated 4 years ago
- ☆24Updated 7 years ago
- COVID-19 is an infectious disease. The current outbreak was officially recognized as a pandemic by the World Health Organization (WHO) on…☆33Updated 4 years ago
- [Coursera] AI for Medicine Specialization by "deeplearning.ai".☆56Updated 4 years ago
- X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2☆110Updated 7 years ago
- Boost lung Cancer Detection using Generative model and Semi-Supervised Learning☆11Updated 6 years ago
- [ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset☆61Updated 2 years ago
- Kaggle Competitions: Find the nuclei in divergent images to advance medical discovery☆16Updated 5 years ago
- A Capsule Network-based framework for identification of COVID-19 cases from chest X-ray Images☆49Updated 4 years ago
- Skin cancer detection using Dermatological images and Deep learning☆16Updated 7 years ago
- UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the …☆145Updated last year
- Adversarial Augmentation for Enhancing Classification of Mammography Images☆17Updated 2 years ago
- Hello World Introduction to Deep Learning for Medical Image Classification☆33Updated 11 months ago
- Simple guide on how to generate ROC plot for Keras classifier | DLology☆41Updated 6 years ago
- This repository contains UNet and ICNet implementations for semantic segmentation of nuclei images, from Kaggle's 2018 Data Science Bowl☆18Updated 5 years ago
- HackOverFlow Project: Detection of Skin disease using Computer Vision☆10Updated 6 years ago
- Eye Disease Classification using google images data☆15Updated 3 years ago