Browsing Department of Electrical and Computer Engineering (TN-IDE) by Subject "diagnostiseringsverktøy"
Now showing items 1-2 of 2
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Automatic diagnostic tool for predicting cancer grade in bladder cancer patients using deep learning
(Peer reviewed; Journal article, 2021-08)The most common type of bladder cancer is urothelial carcinoma, which is among the cancer types with the highest recurrence rate and lifetime treatment cost per patient. Diagnosed patients are stratified into risk groups, ... -
Improved Machine Learning-Based Predictive Models for Breast Cancer Diagnosis
(Peer reviewed; Journal article, 2022-03)Breast cancer death rates are higher than any other cancer in American women. Machine learning-based predictive models promise earlier detection techniques for breast cancer diagnosis. However, making an evaluation for ...