Trainable parameters for different algorithms. حسب Anwar Hossain Efat (19942283)

Algorithm performance in different operational phases. حسب Dongqing Zhang (423941)

Comparative prediction performance analysis of different algorithms. حسب Dongqing Zhang (423941)

Architecture for Tumor detection in esophageal Endoscopy images. حسب Young Seo Baik (21001443)

الموضوعات:

Prediction results of a trained model for detecting the location of a tumor. حسب Young Seo Baik (21001443)

الموضوعات:

Precision–recall curves obtained using the detection model for internal data. حسب Young Seo Baik (21001443)

الموضوعات:

Prediction results of a trained model for detecting the location of a tumor. حسب Young Seo Baik (21001443)

الموضوعات:

TP predictions from a trained model for tumor location detection. حسب Young Seo Baik (21001443)

الموضوعات:

Precision–recall curves obtained using the detection model for external data. حسب Young Seo Baik (21001443)

الموضوعات:

TP predictions from a trained model for tumor location detection. حسب Young Seo Baik (21001443)

الموضوعات:

Performance evaluation metrics for detection models based on confidence thresholds from external data. حسب Young Seo Baik (21001443)

الموضوعات:

Performance evaluation metrics for detection models based on confidence thresholds from internal data. حسب Young Seo Baik (21001443)

الموضوعات:

Immune infiltration analysis by CIBERSORT algorithm. حسب Lanying Shen (22755930)

Immune infiltration analysis by CIBERSORT algorithm. حسب Lanying Shen (22755930)

Labeling data for regions of interest. حسب Young Seo Baik (21001443)

الموضوعات:

Number of images collected for WLI/NBI data. حسب Young Seo Baik (21001443)

الموضوعات:

Boxplots displaying <i>KL</i> divergence results, indicating variability of key topological metrics obtained after multiple algorithm runs for the generation of chorionic vessels (... حسب Diana C. de Oliveira (9220729)

Schematic of the skin cancer detection technique. حسب Puneet Thapar (21464240)

"…The classification phase is then handled using the R-CNN algorithm. Our model shows better performance in both training and testing accuracy than any other existing approaches. …"

An illustration of the Deepwalk algorithm operation involves a random walk on the graph, resulting in a “walk” sequence, which is then utilized to construct a graph. حسب Xiaobing Deng (1622233)

Table 1_Early detection of retinal and choroidal microvascular impairments in diabetic patients with myopia.docx حسب Yufei Wu (3625967)

"…The AI-driven analysis revealed that decreased CVI and CT were significantly associated with age and spherical equivalent (SE), highlighting the utility of automated algorithms in identifying early microvascular impairments.…"