Identification and Detection of Intracranial Hemorrhage Using Deep Learning

Registration ID: IJNRD_183025

Published ID: IJNRD2209146

DOI: Click Here to Get

L.M.Varsha , Sudha K.L , Padmini Prabhakar

Intracranial Hemorrhage, CT scans, Deep learning, CNN, ResNet-50

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.

Published Paper   E-Certificate

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

Volume 7 Issue 9, September-2022

Pages : 1254-1257

Paper Reg. ID: IJNRD_183025

Published Paper Id: IJNRD2209146

Downloads: 000121984

Research Area: Engineering

Country: Bengaluru, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2209146.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2209146

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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