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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
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 …
Survival Analysis of time-to-Chronic Graft-versus-Host Disease in leukemia patient event data across 4 clinical sites with respect to 5 clinical characteristics: age, sex, cytomegalovirus immune status, waiting time to transplant, and disease group.
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)
A free information application for Magic Leap 1 providing basic information in Mixed Reality about Leukemia, Haemopoiesis, Acute Myeloid & Lymphoblastic Leukemia
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…
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
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)