The majority of patients today have vascular illness that could cause pulmonary hypertension and pulmonary emboli which can lead to serious conditions. To diagnose changes in veins and arteries, manual, semi-automatic and automatic examination of a individuals chest computed tomography image or CT Pulmonary Angiogram (CTPA) is performed. Manual CT scan analysis is more tedious, takes more time and is not standardized. Thus the separation of vascular trees in CTPA scans is now semi-automatic and automatic which enables doctors to precisely identify aberrant conditions. Recent research has focused on applying machine learning along with deep learning approaches to find and categorize pulmonary vascular disorders like pulmonary embolism and pulmonary hypertension. Here, a brand-new technique is put out for the automatically classifying pulmonary veins in order to more accurately diagnose lung illnesses related to Pulmonary Embolism (PE). The proposed method uses Scaled Siamese-based Convoutional Neural Network (CNN) for classifying Pulmonary Embolism images with an accuracy more than 90 while using two publicly available datasets FUMPE and RSNA. Finally, comparison of the proposed method with other pretrained CNN-based algorithms for detecting PE is done in terms of Area Under Curve (AUC), recall, precision, accuracy, F1 score, etc. and values are tabulated and our proposed method shows good results. Comparison was also done using deep learning models like PENET, Inception V3 and K fold cross validation and our proposed method values are outstanding compared to other methods.
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Univ Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USAUniv Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA
Gao, Zhiyun
Grout, Randall W.
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Univ Iowa, Dept Radiol, Iowa City, IA 52242 USAUniv Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA
Grout, Randall W.
Holtze, Colin
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Univ Iowa, Dept Radiol, Iowa City, IA 52242 USAUniv Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA
Holtze, Colin
Hoffman, Eric A.
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Univ Iowa, Dept Radiol, Iowa City, IA 52242 USA
Univ Iowa, Dept Biomed Engn, Iowa City, IA 52242 USAUniv Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA
Hoffman, Eric A.
Saha, Punam K.
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Univ Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA
Univ Iowa, Dept Radiol, Iowa City, IA 52242 USAUniv Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA
机构:
Univ Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USAUniv Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA
Gao, Zhiyun
Grout, Randall W.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Iowa, Dept Radiol, Iowa City, IA 52242 USAUniv Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA
Grout, Randall W.
Holtze, Colin
论文数: 0引用数: 0
h-index: 0
机构:
Univ Iowa, Dept Radiol, Iowa City, IA 52242 USAUniv Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA
Holtze, Colin
Hoffman, Eric A.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Iowa, Dept Radiol, Iowa City, IA 52242 USA
Univ Iowa, Dept Biomed Engn, Iowa City, IA 52242 USAUniv Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA
Hoffman, Eric A.
Saha, Punam K.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA
Univ Iowa, Dept Radiol, Iowa City, IA 52242 USAUniv Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA