--- a
+++ b/README.md
@@ -0,0 +1,42 @@
+# Cancer-test
+Blood consists of plasma, and three different types of cells and they are: White Blood
+Cells, Red Blood Cells and Platelets and each of these performs particular task. Red
+blood cells transport oxygen from the lungs to the tissues of the body and vice versa.
+White blood cells help the body to fight against diseases and infections. Platelets help
+to clot and control bleeding. Leukemia is cancer of blood cells in which number of
+white cells is increases numerously and those are immature cells that interfere with
+other blood cells, usually red blood cells and platelets. Our body’s white blood cell ratio
+is 1000:1. It means that between 1000 red blood cells there is 1 white blood cell.
+There are two types of white blood cells that get turn into leukemia and they are:
+1. Lymphoid cells
+2. Myeloid cells
+
+![](https://aihubprojects.com/wp-content/uploads/2019/10/image-19.png)
+
+Leukemia that caused due to lymphoid cells is called lymphocytic or lymphoblastic
+leukemia and if it is caused due to myeloid cells then it is known as myelogenous
+or myeloid leukemia. Leukemia is grouped in two ways: acute or chronic, grouped
+according to how fast the cells are growing. The abnormal blood cells in acute
+leukemia are usually immature blasts (young cells) that do not work properly. These
+cells are growing fast. Acute leukemia gets worse quickly unless it is immediately
+treated. Young blood cells are present in chronic leukemia, but also mature
+functional cells are produced. Blasts are growing slowly in chronic leukemia. It
+takes the disease longer to get worse.
+The four major forms of leukemia are:
+1. Acute lymphoblastic leukemia (ALL)
+2. Acute myelogenous leukemia (AML)
+3. Chronic lymphocytic leukemia (CLL) and
+4. Chronic myelogenous leukemia (CML)
+
+# PURPOSE
+The purpose of our project is to develop a system that can automatically detect cancer
+from the blood cell images. This system uses a convolution network that inputs a blood
+cell images and outputs whether the cell is infected with cancer or not. The appearance
+of cancer in blood cell images is often vague, can overlap with other diagnoses, and can
+mimic many other benign abnormalities. These discrepancies cause considerable
+variability among medical personnel in the diagnosis of cancer. Automated detection
+of cancer from blood cell images at the level of expert medical personnel would not
+only have tremendous benefit in clinical settings, it would also be invaluable in delivery
+of health care to populations with inadequate access to diagnostic imaging specialists.
+
+# visit [aihubprojects.com](https://aihubprojects.com/blood-cancer-detection-using-cnn-ai-projects/) for more