Method of identifying edema and hematoma in MRI image and apparatus thereof
The invention discloses a method of identifying an edema and a hematoma in a MRI image and an apparatus thereof. The method is characterized by firstly, using a first preset machine learning model to identify a lump area in the MRI image to be identified, wherein the first preset machine learning mo...
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| creator | ZHOU ZHEN ZHANG FANDONG ZHANG SHU KONG MING WANG HONGZHEN LI YIMING PANG LIANG |
| description | The invention discloses a method of identifying an edema and a hematoma in a MRI image and an apparatus thereof. The method is characterized by firstly, using a first preset machine learning model to identify a lump area in the MRI image to be identified, wherein the first preset machine learning model is acquired after training the MRI image where the lump area is marked; then, using a second preset machine learning model to identify a hematoma area and an edema area in the lump area, wherein the second preset machine learning model is acquired after training the MRI image where the hematoma area and the edema area are marked; and calculating sizes, expansion directions and maximum diameters of the hematoma area and the edema area. By using the method, the hematoma and the edema can be automatically and high-efficiently identified; and the sizes, the expansion directions and the maximum diameters of the hematoma area and the edema area can be automatically calculated so that a doctor is helped to accurately |
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The method is characterized by firstly, using a first preset machine learning model to identify a lump area in the MRI image to be identified, wherein the first preset machine learning model is acquired after training the MRI image where the lump area is marked; then, using a second preset machine learning model to identify a hematoma area and an edema area in the lump area, wherein the second preset machine learning model is acquired after training the MRI image where the hematoma area and the edema area are marked; and calculating sizes, expansion directions and maximum diameters of the hematoma area and the edema area. 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The method is characterized by firstly, using a first preset machine learning model to identify a lump area in the MRI image to be identified, wherein the first preset machine learning model is acquired after training the MRI image where the lump area is marked; then, using a second preset machine learning model to identify a hematoma area and an edema area in the lump area, wherein the second preset machine learning model is acquired after training the MRI image where the hematoma area and the edema area are marked; and calculating sizes, expansion directions and maximum diameters of the hematoma area and the edema area. 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The method is characterized by firstly, using a first preset machine learning model to identify a lump area in the MRI image to be identified, wherein the first preset machine learning model is acquired after training the MRI image where the lump area is marked; then, using a second preset machine learning model to identify a hematoma area and an edema area in the lump area, wherein the second preset machine learning model is acquired after training the MRI image where the hematoma area and the edema area are marked; and calculating sizes, expansion directions and maximum diameters of the hematoma area and the edema area. By using the method, the hematoma and the edema can be automatically and high-efficiently identified; and the sizes, the expansion directions and the maximum diameters of the hematoma area and the edema area can be automatically calculated so that a doctor is helped to accurately</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
| title | Method of identifying edema and hematoma in MRI image and apparatus thereof |
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