2016, author = {Holger R. Roth and Amal Farag and Evrim B. Turkbey and Le Lu and Jiamin Liu and Ronald M. Summers}, title = {Data From Pancreas-CT}, year = {2016}, howpublished = {\url{https://doi.org/10.7937/K9/TCIA.2016.tNB1kqBU}}, note = {The Cancer Imaging Archive} ...
The performance of the proposed model is evaluated on The Cancer Imaging Archive (TCIA) Pancreas CT database and abdomen CT dataset which is taken from Selcuk University Medicine Faculty Radiology Department. During the experimental studies, the k-fold cross-validation method is used. Furthermore, ...
The performance of the proposed model is evaluated on The Cancer Imaging Archive (TCIA) Pancreas CT database and abdomen CT dataset which is taken from Selcuk University Medicine Faculty Radiology Department. During the experimental studies, the k-fold cross-va...
The experimental validation of the VGG16–XGBoost model uses the Cancer Imaging Archive (TCIA) public access dataset, which has pancreas CT images. The results of this study can be extremely helpful for PDAC diagnosis from computerised tomography (CT) pancreas images, categorising them into five ...