Paper Title
Identification and Detection of Intracranial Hemorrhage Using Deep Learning
Article Identifiers
: Authors
Keywords
Intracranial Hemorrhage, CT scans, Deep learning, CNN, ResNet-50
Abstract
Intracranial hemorrhage (ICH) is a serious medical emergency that requires quick and accurate assessment and treatment. Mortality rate due to brain hemorrhage is very high (approximately 40%) as per reports. Hence early detection and classification on non-contrast computed tomography (CT) is essential for a proper prediction and limiting the occurrence of neurologic problems. However, in present scenario, there is a delay in the early detection of ICHs due to a lack of number of radiologists who can read the scans. Therefore, an automatic notification system using the deep-learning artificial intelligence (AI) method has been introduced for the detection of ICH. Recently, deep-learning methods are tried for the detection of ICH on CT images. Deep-learning methods are ML algorithms that use multiple processing layers to learn representations of data with multiple levels of abstraction. This work builds a convolutional neural network based on ResNet for the identification and classification of ICH. Using dataset collected from four international universities by the Radiological Society of North America (RSNA), training and testing a ResNet-50 based CNN model is done for predicting the hemorrhage and its type. Analysis shows that accuracy of up to 94% can be achieved in identifying the correct type of ICH.
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How To Cite (APA)
L.M.Varsha, Sudha K.L, & Padmini Prabhakar (September-2022). Identification and Detection of Intracranial Hemorrhage Using Deep Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 7(9), 1254-1257. https://ijnrd.org/papers/IJNRD2209146.pdf
Issue
Volume 7 Issue 9, September-2022
Pages : 1254-1257
Other Publication Details
Paper Reg. ID: IJNRD_183025
Published Paper Id: IJNRD2209146
Downloads: 000122000
Research Area: Engineering
Author Type: Indian Author
Country: Bengaluru, Karnataka, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2209146.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2209146
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