<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Deep learning has proved successful in computer-aided detection in interpreting ultrasound images, COVID infections, identifying tumors from computed tomography (CT) scans for humans and animals. This paper proposes applications of deep learning in detecting cancerous cells inside patients via laparoscopic camera on da Vinci Xi surgical robots. The paper presents method for detecting tumor via object detection and classification/localizing using GRAD-CAM. Localization means heat map is drawn on the image highlighting the classified class. Analyzing images collected from publicly available partial robotic nephrectomy videos, for object detection, the final mAP was 0.974 and for classification the accuracy was 0.84.</p></abstract>

Deep learning has proved successful in computer-aided detection in interpreting ultrasound images, COVID infections, identifying tumors from computed tomography (CT) scans for humans and animals. This paper proposes applications of deep learning in detecting cancerous cells inside patients via laparoscopic camera on da Vinci Xi surgical robots. The paper presents method for detecting tumor via object detection and classification/localizing using GRAD-CAM. Localization means heat map is drawn on the image highlighting the classified class. Analyzing images collected from publicly available partial robotic nephrectomy videos, for object detection, the final mAP was 0.974 and for classification the accuracy was 0.84.

Using explainable deep learning in da Vinci Xi robot for tumor detection

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Using explainable deep learning in da Vinci Xi robot for tumor detection:

Deep learning has proved successful in computer-aided detection in interpreting ultrasound images, COVID infections, identifying tumors from computed...

Using explainable deep learning in da Vinci Xi robot for tumor detection

Online veröffentlicht: 25. Okt. 2021

Seitenbereich: 1 - 16

Eingereicht: 29. Juli 2021

Akzeptiert: 01. Sept. 2021

DOI: https://doi.org/10.21307/ijssis-2021-017

Schlüsselwörter
Convolutional neural network, Tumor detection, YOLOv4, GRAD-CAM, Live surgery, da Vinci Xi

© 2021 Rohan Ibn Azad et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Using explainable deep learning in da Vinci Xi robot for tumor detection

Online veröffentlicht: 25. Okt. 2021

Seitenbereich: 1 - 16

Eingereicht: 29. Juli 2021

Akzeptiert: 01. Sept. 2021

DOI: https://doi.org/10.21307/ijssis-2021-017

SchlüsselwörterConvolutional neural network, Tumor detection, YOLOv4, GRAD-CAM, Live surgery, da Vinci Xi

© 2021 Rohan Ibn Azad et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Convolutional neural network, Tumor detection, YOLOv4, GRAD-CAM, Live surgery, da Vinci Xi