Pathological deep network training and operation graphical user interface for electronic devices
CN309474000SActive Publication Date: 2025-09-02DIGITAL HEALTH CHINA TECHNOLOGIES CO LTD
View PDF 0 Cites 0 Cited by
Patent Information
- Application Number
- CN202430448285.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Designs(China)
- Current Assignee / Owner
- Filing Date
- 2024-07-17
- Publication Date
- 2025-09-02
- Estimated Expiration
- 2039-07-17
Smart Images

Figure 000001_ABST
Abstract
1. The name of this design product: Graphical user interface for pathological deep network training operations for electronic devices. 2. Purpose of this design product: an electronic device. 3. The key design points of this design product lie in the content and layout of the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: main view. 5. Electronic equipment, other views omitted. 6. Purpose of the graphical user interface: The graphical interface of the product of this design is a graphical user interface for computer software interface design, wherein, clicking the "Enter" button in the "Pathology Deep Network Training" module of the main view enters the interface change state diagram 1; clicking the "Select Data Set" drop-down button in the "Data Reading" of the interface change state diagram 1 enters the interface change state diagram 2; clicking the "Filter Data" in the "Data Reading" of the interface change state diagram 2 enters the interface change state diagram 3; clicking the "Select All" in the "Filter Data" of the interface change state diagram 3 and clicking "OK" enters the interface change state diagram 4; clicking the interface change state diagram 5 enters the interface change state diagram 6; Click on "Data Verification" in interface change diagram 4 to enter interface change diagram 5; click on "Image Preprocessing" in interface change diagram 5 to enter interface change diagram 6; click on "Verification Set Ratio", "Patch Side Length" and "Threshold" in interface change diagram 6 and enter appropriate values in the input boxes to enter interface change diagram 7; click on "Training Configuration" in interface change diagram 7 to enter interface change diagram 8; click on "Classification Model" drop-down option in interface change diagram 8, select "ResNet" in "Learning Rate"; select "Adam" in the "Optimizer" drop-down option, enter "32" in "batch size"; select "CELoss" in the "Loss Function" drop-down option, enter "1000" in "Epoch"; enter "200" in "Early Stop" and click "Start Training" to enter interface change diagram 9; click on "Model Test" in interface change diagram 9 to enter interface change diagram 10.
Need to check novelty before this filing date? Find Prior Art