Abstract:
The diagnosis of Acute Lymphoblastic Leukemia (ALL) presents significant challenges due to invasive and time-consuming tests. We introduce an AI-driven solution that uses peripheral blood smear (PBS) images for rapid screening, overcoming diagnostic errors caused by the ambiguity of ALL symptoms.

Existing System:
Current ALL diagnosis relies on invasive and costly methods, often resulting in delayed diagnoses and misinterpretations due to non-specific symptoms. Traditional PBS ima ....