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  • Open Access


    A Double-Branch Xception Architecture for Acute Hemorrhage Detection and Subtype Classification

    Muhammad Naeem Akram1, Muhammad Usman Yaseen1, Muhammad Waqar1, Muhammad Imran1,*, Aftab Hussain2

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3727-3744, 2023, DOI:10.32604/cmc.2023.041855

    Abstract This study presents a deep learning model for efficient intracranial hemorrhage (ICH) detection and subtype classification on non-contrast head computed tomography (CT) images. ICH refers to bleeding in the skull, leading to the most critical life-threatening health condition requiring rapid and accurate diagnosis. It is classified as intra-axial hemorrhage (intraventricular, intraparenchymal) and extra-axial hemorrhage (subdural, epidural, subarachnoid) based on the bleeding location inside the skull. Many computer-aided diagnoses (CAD)-based schemes have been proposed for ICH detection and classification at both slice and scan levels. However, these approaches perform only binary classification and suffer from a… More >

  • Open Access


    Deep Learning-Enabled Brain Stroke Classification on Computed Tomography Images

    Azhar Tursynova1, Batyrkhan Omarov1,2, Natalya Tukenova3,*, Indira Salgozha4, Onergul Khaaval3, Rinat Ramazanov5, Bagdat Ospanov5

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1431-1446, 2023, DOI:10.32604/cmc.2023.034400

    Abstract In the field of stroke imaging, deep learning (DL) has enormous untapped potential. When clinically significant symptoms of a cerebral stroke are detected, it is crucial to make an urgent diagnosis using available imaging techniques such as computed tomography (CT) scans. The purpose of this work is to classify brain CT images as normal, surviving ischemia or cerebral hemorrhage based on the convolutional neural network (CNN) model. In this study, we propose a computer-aided diagnostic system (CAD) for categorizing cerebral strokes using computed tomography images. Horizontal flip data magnification techniques were used to obtain more… More >

  • Open Access


    Automated Brain Hemorrhage Classification and Volume Analysis

    Maryam Wardah1, Muhammad Mateen1,*, Tauqeer Safdar Malik2, Mohammad Eid Alzahrani3, Adil Fahad3, Abdulmohsen Almalawi4, Rizwan Ali Naqvi5

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 2283-2299, 2023, DOI:10.32604/cmc.2023.030706

    Abstract Brain hemorrhage is a serious and life-threatening condition. It can cause permanent and lifelong disability even when it is not fatal. The word hemorrhage denotes leakage of blood within the brain and this leakage of blood from capillaries causes stroke and adequate supply of oxygen to the brain is hindered. Modern imaging methods such as computed tomography (CT) and magnetic resonance imaging (MRI) are employed to get an idea regarding the extent of the damage. An early diagnosis and treatment can save lives and limit the adverse effects of a brain hemorrhage. In this case,… More >

  • Open Access


    Differential Diagnosis between Primary Intracranial Melanoma and Cerebral Cavernoma in Crohn’s Disease: A Case Report and Literature Review

    Roberta Costanzo1, Vishal Parmar2, Salvatore Marrone1, Domenico Gerardo Iacopino1, Giovanni Federico Nicoletti3, Giuseppe Emmanuele Umana4, Gianluca Scalia3,*

    Oncologie, Vol.24, No.4, pp. 937-942, 2022, DOI:10.32604/oncologie.2022.027155

    Abstract Primary intracranial melanomas are rare, with a challenging diagnosis based only on clinical and imaging features. The authors described the case of an intracerebral right parieto-temporal melanoma mimicking a cavernoma in a patient affected by Crohn’s disease. A 67-year-old female patient with Crohn’s disease and small bowel stenosis was hospitalized for surgical removal of the terminal ileum and latero-lateral ileo-colic anastomosis. During postoperative week 1, the patient developed psychomotor agitation followed by altered consciousness. An urgent brain CT showed a right intracerebral parieto-temporal hemorrhage with intralesional calcifications. The patient underwent a decompressive craniectomy with hematoma More >

  • Open Access


    Detection and Classification of Hemorrhages in Retinal Images

    Ghassan Ahmed Ali1, Thamer Mitib Ahmad Al Sariera2,*, Muhammad Akram1, Adel Sulaiman1, Fekry Olayah1

    Computer Systems Science and Engineering, Vol.44, No.2, pp. 1601-1616, 2023, DOI:10.32604/csse.2023.026119

    Abstract Damage of the blood vessels in retina due to diabetes is called diabetic retinopathy (DR). Hemorrhages is the first clinically visible symptoms of DR. This paper presents a new technique to extract and classify the hemorrhages in fundus images. The normal objects such as blood vessels, fovea and optic disc inside retinal images are masked to distinguish them from hemorrhages. For masking blood vessels, thresholding that separates blood vessels and background intensity followed by a new filter to extract the border of vessels based on orientations of vessels are used. For masking optic disc, the… More >

  • Open Access


    The function of ubiquitin-specific protease 31 in intracerebral hemorrhage


    BIOCELL, Vol.46, No.6, pp. 1545-1555, 2022, DOI:10.32604/biocell.2022.017544

    Abstract Intracerebral hemorrhage (ICH) is the most serious type of stroke. High level of thrombin is found in the ICH. Ubiquitin-specific protease (USP) 31, a member of deubiquitinating enzymes family, has been found to negatively regulate the NF-κB pathway. However, the function of USP31 in ICH remains largely unknown. In the present study, the mRNA and protein expression levels of USP31 were measured by real-time PCR and western blot. Flow cytometry was used to measure cell apoptosis and the level of reactive oxygen species (ROS). In the current study, we found the mRNA level of USP31… More >

  • Open Access


    Efficient Morphological Segmentation of Brain Hemorrhage Stroke Lesion Through MultiResUNet

    R. Shijitha1,*, P. Karthigaikumar2, A. Stanly Paul2

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5233-5249, 2022, DOI:10.32604/cmc.2022.020227

    Abstract Brain Hemorrhagic stroke is a serious malady that is caused by the drop in blood flow through the brain and causes the brain to malfunction. Precise segmentation of brain hemorrhage is crucial, so an enhanced segmentation is carried out in this research work. The brain image of various patients has taken using an MRI scanner by the utilization of T1, T2, and FLAIR sequence. This work aims to segment the Brain Hemorrhagic stroke using deep learning-based Multi-resolution UNet (multires UNet) through morphological operations. It is hard to precisely segment the brain lesions to extract the More >

  • Open Access


    Liver Lesions and Acute Intracerebral Hemorrhage Detection Using Multimodal Fusion

    Osama S. Faragallah1,*, Abdullah N. Muhammed2, Taha S. Taha3, Gamal G. N. Geweid4,5

    Intelligent Automation & Soft Computing, Vol.30, No.1, pp. 215-225, 2021, DOI:10.32604/iasc.2021.019058

    Abstract Medical image fusion is designed to help physicians in their decisions by providing them with a preclinical image with enough information. Accurate assessment and effective treatment of the disease reduce the time it takes to relieve the symptoms of the disease. This article utilizes an effective data fusion approach to work on two different imaging modalities; computed tomography (CT) and magnetic resonance imaging (MRI). The data fusion approach is based on the combination of singular value decomposition (SVD) and the Fast Discrete Curvelet Transform (FDCT) techniques to reduce processing time during the fusion process. The More >

  • Open Access


    A Novel Deep Neural Network for Intracranial Haemorrhage Detection and Classification

    D. Venugopal1, T. Jayasankar2, Mohamed Yacin Sikkandar3, Mohamed Ibrahim Waly3, Irina V. Pustokhina4, Denis A. Pustokhin5, K. Shankar6,*

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 2877-2893, 2021, DOI:10.32604/cmc.2021.015480

    Abstract Data fusion is one of the challenging issues, the healthcare sector is facing in the recent years. Proper diagnosis from digital imagery and treatment are deemed to be the right solution. Intracerebral Haemorrhage (ICH), a condition characterized by injury of blood vessels in brain tissues, is one of the important reasons for stroke. Images generated by X-rays and Computed Tomography (CT) are widely used for estimating the size and location of hemorrhages. Radiologists use manual planimetry, a time-consuming process for segmenting CT scan images. Deep Learning (DL) is the most preferred method to increase the… More >

  • Open Access


    New Concept in Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA)

    Ali. E. Dabiri1,2,*, Matthew Martin3, Ghassan S. Kassab1

    Molecular & Cellular Biomechanics, Vol.17, No.1, pp. 25-31, 2020, DOI:10.32604/mcb.2019.07310

    Abstract The world-wide impact of traumatic injury and associated hemorrhage on human health and well-being is significant. Methods to manage bleeding from sites within the torso, referred to as non-compressible torso hemorrhage (NCTH), remain largely limited to the use of conventional operative techniques. The overall mortality rate of patients with NCTH is approximately 50%. Studies from the wars in Afghanistan and Iraq have suggested that up to 80% of potentially survivable patients die as a result of uncontrolled exsanguinating hemorrhage. The commercially available resuscitative endovascular balloon occlusion of the aorta (REBOA) is a percutaneous device… More >

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