Titlebook: Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems; 7th IFIP TC 12 Inter Eunika Mercier-La

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亚当心理阴影

Detection and Estimation of Diameter of Retinal Vesselshe retinal vasculatures can signify a spectrum of diseases. In retinal fundus images, providing an automatically estimated diameter of blood vessels may aid clinicians in diagnosing diseases like hypertensive retinopathy, which can even lead to blindness. Therefore, automated diagnosis of these dise

antiandrogen

Automated Summarization of Gastrointestinal Endoscopy Videoded by the endoscope’s video sequence, a physician can diagnose the diseases and administer the treatment. Unfortunately, due to the huge amount of data generated, physicians are currently discarding procedural video and rely on a small number of carefully chosen images to record a procedure. In add

兴奋过度

Interpretation of Feature Contribution Towards Diagnosis of Diabetic Retinopathy from Exudates in Re the earliest clinical signs of diabetic retinopathy. Machine learning algorithms have been used to classify the presence or absence of exudates in retinal images. The black box nature of the image classification based on machine learning models limits the clinical applicability. This paper proposes

发生

False Positive Reduction in Mammographic Mass Detectionfied ahead of time through a mammogram. The mass is obscured in dense breast tissues and hence the sensitivity is limited in the case of mammography. A computer aided diagnosis (CAD) system helps in overcoming the sensitivity issue in mammography but in turn the system is prone to many false positiv

宽度

宽度

Collaborative CNN with Multiple Tuning for Automated Coral Reef Classification locations of coral reefs. In recent years, there has been a significant proliferation of digital imagery that is utilized for monitoring marine species. Because of the exponential development in the amount of image data that is now accessible, automated detection and classification methods are beco

integral

冷淡周边

echnic

Deep Learning Models for Automatic De-identification of Clinical Text these clinical narratives as electronic health records (EHR). The EHR is an organized collection of patient health information in digital format. These EHR’s are an extensive collection of medical information, and they provide novel and rich data for clinical research. EHR also contains the patient