DEEP LEARNING OF TUMOR IMAGE-AIDED PREDICTION OF PROGNOSIS OF PATIENTS WITH UTERINE CERVICAL CANCER SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT THEREOF

DEEP LEARNING OF TUMOR IMAGE-AIDED PREDICTION OF PROGNOSIS OF PATIENTS WITH UTERINE CERVICAL CANCER SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT THEREOF

A prediction system of tumor image-aided prediction of prognosis for patients with uterine cervical cancer is provided. The prediction system includes a data augmentation module and a deep convolution neural network model. The data augmentation module is used to apply a data expansion process of the...

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Bibliographische Detailangaben
Hauptverfasser: KAO, CHIA-HUNG, CHEN, SHANG-WEN, WU, KUON, SHEN, WEIIH
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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Beschreibung
Zusammenfassung:A prediction system of tumor image-aided prediction of prognosis for patients with uterine cervical cancer is provided. The prediction system includes a data augmentation module and a deep convolution neural network model. The data augmentation module is used to apply a data expansion process of the image data, so as to generate a plurality of slice sets of the uterine cervical cancer tumor. The deep convolution neural network model is used to apply a feature analysis to the slices, so as to predict the prognosis of a patient after chemoradiotherapy.