Visual representation of the combination of feature extraction approaches employed and classification algorithms to identify stomata. حسب Alexandre H. Aono (11603934)

Table_1_Fusion of fruit image processing and deep learning: a study on identification of citrus ripeness based on R-LBP algorithm and YOLO-CIT model.docx حسب Chenglin Wang (430151)

"…The experiment showed that the R-LBP algorithm is capable of amplifying the texture features among citrus fruits at distinct ripeness stages. …"

Flowchart scheme of the ML-based model. حسب Noshaba Qasmi (20405009)

Mean accuracies of the classifiers trained with image descriptor features for the stomata classification task. حسب Alexandre H. Aono (11603934)

"…<p>We tested DAISY, Oriented Gradient Histogram—HOG, Haralick Texture Features, Local Binary Patterns—LBP and GIST descriptors, combined with support vector machine, multilayer perceptron and Adaboost machine learning algorithms.…"

Table_2_Radiomics analysis of contrast-enhanced CT scans can distinguish between clear cell and non-clear cell renal cell carcinoma in different imaging protocols.docx حسب Bettina Katalin Budai (13951317)

Table_1_Radiomics analysis of contrast-enhanced CT scans can distinguish between clear cell and non-clear cell renal cell carcinoma in different imaging protocols.DOCX حسب Bettina Katalin Budai (13951317)

Data_Sheet_1_Radiomics analysis of contrast-enhanced CT scans can distinguish between clear cell and non-clear cell renal cell carcinoma in different imaging protocols.XLSX حسب Bettina Katalin Budai (13951317)

Image3_DFUCare: deep learning platform for diabetic foot ulcer detection, analysis, and monitoring.jpeg حسب Varun Sendilraj (19732510)

"…The platform combines CIELAB and YCbCr color space segmentation with a pre-trained YOLOv5s algorithm for wound localization. …"

Image4_DFUCare: deep learning platform for diabetic foot ulcer detection, analysis, and monitoring.jpeg حسب Varun Sendilraj (19732510)

"…The platform combines CIELAB and YCbCr color space segmentation with a pre-trained YOLOv5s algorithm for wound localization. …"

Image1_DFUCare: deep learning platform for diabetic foot ulcer detection, analysis, and monitoring.jpeg حسب Varun Sendilraj (19732510)

"…The platform combines CIELAB and YCbCr color space segmentation with a pre-trained YOLOv5s algorithm for wound localization. …"

Table1_DFUCare: deep learning platform for diabetic foot ulcer detection, analysis, and monitoring.docx حسب Varun Sendilraj (19732510)

"…The platform combines CIELAB and YCbCr color space segmentation with a pre-trained YOLOv5s algorithm for wound localization. …"

Image2_DFUCare: deep learning platform for diabetic foot ulcer detection, analysis, and monitoring.jpeg حسب Varun Sendilraj (19732510)

"…The platform combines CIELAB and YCbCr color space segmentation with a pre-trained YOLOv5s algorithm for wound localization. …"

Image5_DFUCare: deep learning platform for diabetic foot ulcer detection, analysis, and monitoring.jpeg حسب Varun Sendilraj (19732510)

"…The platform combines CIELAB and YCbCr color space segmentation with a pre-trained YOLOv5s algorithm for wound localization. …"