Acute Lymbhoblastic Luekemia is a blood malignancy which affects the WBCs.We have come up with an automated system, which aims to reduce the time constraints and the give maximum accuracy by using Convolutional Nueral Networks(Deep Learning !). We first segment the cancer cells and then the normal cells. Then we undergo further classification to seperate the L1, L2, and L3 forms of cancer cells (According to FAB classification).
-
Notifications
You must be signed in to change notification settings - Fork 0
Anonymous1846/ALL-Detection-Using-CNN
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
We will use the Convolutional Neural Networks, to classify the cancer cells into Normal and Cancer cells. Two custom models and two models on transfer learning.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published