Stroke Lesion Detection Using Convolutional Neural Networks

Author(s)

Pereira, Danillo Roberto ; Reboucas Filho, Pedro P. ; de Rosa, Gustavo Henrique ; Papa, Joao Paulo ; de Albuquerque, Victor Hugo C. ; IEEE

• Document type: Journal article
• Source: 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN); v. N/A, p. 6-pg., 2018-01-01.

Abstract

Stroke is an injury that affects the brain tissue, mainly caused by changes in the blood supply to a particular region of the brain. As consequence, some specific functions related to that affected region can be reduced, decreasing the quality of life of the patient. In this work, we deal with the problem of stroke detection in Computed Tomography (CT) images using Convolutional Neural Networks (CNN) optimized by Particle Swarm Optimization (PSO). We considered two different kinds of strokes, ischemic and hemorrhagic, as well as making available a public dataset to foster the research related to stroke detection in the human brain. The dataset comprises three different types of images for each case, i.e., the original CT image, one with the segmented cranium and an additional one with the radiological density's map. The results evidenced that CNN's are suitable to deal with stroke detection, obtaining promising results. (AU)

• FAPESP's process: 14/16250-9 - On the parameter optimization in machine learning techniques: advances and paradigms
• Grantee: João Paulo Papa
• Support Opportunities: Regular Research Grants
• FAPESP's process: 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction?
• Grantee: Alexandre Xavier Falcão
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 15/25739-4 - On the Study of Semantics in Deep Learning Models
• Grantee: Gustavo Henrique de Rosa
• Support Opportunities: Scholarships in Brazil - Master
• FAPESP's process: 16/21243-7 - Learning Dropout Parameters for Convolutional Neural Networks
• Grantee: Gustavo Henrique de Rosa
• Support Opportunities: Scholarships abroad - Research Internship - Master's degree