Banca de DEFESA: VANESSA DANTAS DE SOUTO COSTA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : VANESSA DANTAS DE SOUTO COSTA
DATE: 26/07/2024
TIME: 09:30
LOCAL: Online
TITLE:

Microservices Architecture for Malaria Detection and Classification

KEY WORDS:

Image processing, disease classification, Malaria, YOLO, microservices

PAGES: 82
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUBÁREA: Metodologia e Técnicas da Computação
SPECIALTY: Processamento Gráfico (Graphics)
SUMMARY:

Malaria affects millions of people each year, predominantly in resource-limited countries. According to the World Health Organization \parencite{WHO_2022}, there were an estimated 619,000 Malaria deaths globally in 2021 compared to 625,000 in 2020. Thus, automated classification of Malaria-infected blood smear images is a critical component in improving the efficiency and accuracy of Malaria diagnosis. With the aim of enabling a flexible solution that would allow the integration of neural networks to treat diseases on a large scale, we propose a methodology for Malaria disease classification. Our approach involves data collection, preprocessing and YOLO object detection (in real-time), encapsulated into a microservices environment, creating a modular and scalable system that efficiently handles inference requests while ensuring flexibility and maintainability (as shown in the load test experiments). Thus, we are bridging the gap between fighting Malaria and technology and making an application that could serve as a blueprint for future works in the disease classification field.

COMMITTEE MEMBERS:
Presidente - 2177445 - BRUNO MOTTA DE CARVALHO
Interna - 1350250 - ANNE MAGALY DE PAULA CANUTO
Externo ao Programa - 2180207 - ITAMIR DE MORAIS BARROCA FILHO - UFRNExterno à Instituição - DANIEL LÓPEZ CODINA - UPC