Deep learning for distinguishing morphological features of Acute Promyelocytic Leukemia

A Fast and Efficient CNN Model for B-ALL Diagnosis and its Subtypes Classification using Peripheral Blood Smear Images

A HIAS connected AI assistant based on GPT-3, capable of providing information based on Leukemia. This project is a proof of concept and should not be used for medical advice

MATLAB and Python implementation to detect leukeamia

Deep learning architecture that can solve the classification problem of B-Cell lymphoblasts versus normal cells in white blood cells microscopic images (developed for the Computational Intelligence & Deep Learning course)

Blood cancer is an uprising issue and doing physical medical procedures is too sensitive and time-consuming to detect any blast cell. Manual testing includes blood tests, spinal fluid tests, bone marrow tests, imaging tests, etc. A solution to this is to use modern methods in health care that help to detect diseases faster and increase the cure …

ANNa (Artificial Neural Network anti-leukemia)

A collection of papers, reviews and applications related to Acute Myeloid Leukemia (AML)

Ultralight and fast implementation of GoPeaks to call peaks in CUT&Tag/CUT&RUN data

A free information application for Magic Leap 1 providing basic information in Mixed Reality about Leukemia, Haemopoiesis, Acute Myeloid & Lymphoblastic Leukemia

Uses deep learning to classify types of white blood cells in cell images from blood smear slides to aid in AML diagnosis.

CLASSIFICATION MODELS FOR THE DIAGNOSIS OF ACUTE LYMPHOBLASTIC LEUKEMIA

Investigation and analysis of latent knowledge in scientific biomedical papers about Acute Myeloid Leukemia (AML) using unsupervised word embeddings.

Robust prediction of the major gene expression profiling (GEP)-defined subgroups and the GEP-plus risk scores in AML.

One of the worst epidemics in the history of mankind is the deadly disease known as cancer. There are several types of cancer and the one that is more commonly heard of these days is leukemia. There are two types of leukemia – acute myeloid leukemia (AML) and acute lymphocytic leukemia (ALL) – and the purpose of this study is to take into accoun…

Hierarchical Clustering of Leukemia Gene Expression Dataset

Deep learning architecture that can solve the classification problem of B-Cell lymphoblasts versus normal cells in white blood cells microscopic images (developed for the Computational Intelligence & Deep Learning course)

Stupid simple cell extractor from peripheral blood smears 🦀

The KKP Blood Screening Project is a web application designed for blood analysis using YOLOv5 object detection model deployed with Flask. This application allows users to upload an image and receive a labeled result indicating various blood cell types. The model is trained to detect 11 classes of blood cells

ATAC-Seq analysis. (Ali T. Abdallah)