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Generalist vision foundation models for medical imaging: A case study of segment anything model on zero-shot medical segmentation
Medical image analysis plays an important role in clinical diagnosis. In this paper, we
examine the recent Segment Anything Model (SAM) on medical images, and report both …
examine the recent Segment Anything Model (SAM) on medical images, and report both …
Quantification of indocyanine green fluorescence imaging in general, visceral and transplant surgery
Near-infrared (NIR) imaging with indocyanine green (ICG) has proven to be useful in
general, visceral, and transplant surgery. However, most studies have performed only …
general, visceral, and transplant surgery. However, most studies have performed only …
[HTML][HTML] Frontiers of cranial base surgery: integrating technique, technology, and teamwork for the future of neurosurgery
The landscape of cranial base surgery has undergone monumental transformations over the
past several decades. This article serves as a comprehensive survey, detailing both the …
past several decades. This article serves as a comprehensive survey, detailing both the …
[HTML][HTML] Evaluation of surgical skills during robotic surgery by deep learning-based multiple surgical instrument tracking in training and actual operations
As the number of robotic surgery procedures has increased, so has the importance of
evaluating surgical skills in these techniques. It is difficult, however, to automatically and …
evaluating surgical skills in these techniques. It is difficult, however, to automatically and …
[HTML][HTML] Development of a deep learning-based algorithm to detect the distal end of a surgical instrument
This work aims to develop an algorithm to detect the distal end of a surgical instrument using
object detection with deep learning. We employed nine video recordings of carotid …
object detection with deep learning. We employed nine video recordings of carotid …
[HTML][HTML] Semantic SLAM based on deep learning in endocavity environment
Traditional endoscopic treatment methods restrict the surgeon's field of view. New
approaches to laparoscopic visualization have emerged due to the advent of robot-assisted …
approaches to laparoscopic visualization have emerged due to the advent of robot-assisted …
From generalization to precision: Exploring sam for tool segmentation in surgical environments
Purpose: Accurate tool segmentation is essential in computer-aided procedures. However,
this task conveys challenges due to artifacts' presence and the limited training data in …
this task conveys challenges due to artifacts' presence and the limited training data in …
[HTML][HTML] Enhanced U-Net with GridMask (EUGNet): A Novel Approach for Robotic Surgical Tool Segmentation
This study proposed enhanced U-Net with GridMask (EUGNet) image augmentation
techniques focused on pixel manipulation, emphasizing GridMask augmentation. This study …
techniques focused on pixel manipulation, emphasizing GridMask augmentation. This study …
[PDF][PDF] Semantic SLAM Based on Deep Learning in Endocavity Environment. Symmetry 2022, 14, 614
H Wu, J Zhao, K Xu, Y Zhang, R Xu, A Wang, Y Iwahori - 2022 - academia.edu
Traditional endoscopic treatment methods restrict the surgeon's field of view. New
approaches to laparoscopic visualization have emerged due to the advent of robot-assisted …
approaches to laparoscopic visualization have emerged due to the advent of robot-assisted …