Medical Diagnosis Cloud Model for Detection of Kidney Diseases
| Autor: | Mir Mohammad Yousuf, Ishrat Nazeer, Amanpreet Kaur, Mamoon Rashid, Umer Iqbal Wani |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
medicine.medical_specialty
business.industry Computer science Feature vector 0206 medical engineering Feature extraction Intelligent decision support system Cloud computing 02 engineering and technology urologic and male genital diseases medicine.disease female genital diseases and pregnancy complications Region of interest 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing Medical physics The Internet Medical diagnosis business 020602 bioinformatics Kidney disease |
| Zdroj: | 2019 Fifth International Conference on Image Information Processing (ICIIP). |
| Popis: | the paper discusses detection of Chronic Kidney Disease (CKD) and Renal Cell Cancer (RCC). Detection is done by analyzing ultrasound images of patients. For CKD feature extraction, we apply contour detection on kidney's region of interest (ROI) and in RCC detection, a group of features (feature vector) is used for feature extraction. Later the data is deployed on cloud to ease users. This study will help patients, health organizations, doctor's etc. to directly communicate through internet and access medical repositories on cloud systems. This study will also provide an outline for improving healthcare data for effective storage to provide remote access. |
| Databáze: | OpenAIRE |
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