[HTML][HTML] Surgical data science–from concepts toward clinical translation
Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …
Where do we stand in AI for endoscopic image analysis? Deciphering gaps and future directions
S Ali - npj Digital Medicine, 2022 - nature.com
Recent developments in deep learning have enabled data-driven algorithms that can reach
human-level performance and beyond. The development and deployment of medical image …
human-level performance and beyond. The development and deployment of medical image …
[HTML][HTML] Multi-scale feature retention and aggregation for colorectal cancer diagnosis using gastrointestinal images
Colonoscopy is considered the gold standard for colorectal cancer diagnosis and prognosis.
However, existing methods are less accurate and prone to overlooking lesions during …
However, existing methods are less accurate and prone to overlooking lesions during …
[HTML][HTML] DSRD-Net: Dual-stream residual dense network for semantic segmentation of instruments in robot-assisted surgery
T Mahmood, SW Cho, KR Park - Expert Systems with Applications, 2022 - Elsevier
In conventional robot-assisted minimally invasive procedures (RMIS), surgeons have narrow
visual and complex working spaces, along with specular reflection, blood, camera-lens …
visual and complex working spaces, along with specular reflection, blood, camera-lens …
From forks to forceps: A new framework for instance segmentation of surgical instruments
Minimally invasive surgeries and related applications demand surgical tool classification
and segmentation at the instance level. Surgical tools are similar in appearance and are …
and segmentation at the instance level. Surgical tools are similar in appearance and are …
SurgiNet: Pyramid attention aggregation and class-wise self-distillation for surgical instrument segmentation
Surgical instrument segmentation plays a promising role in robot-assisted surgery. However,
illumination issues often appear in surgical scenes, altering the color and texture of surgical …
illumination issues often appear in surgical scenes, altering the color and texture of surgical …
DRR-Net: A dense-connected residual recurrent convolutional network for surgical instrument segmentation from endoscopic images
The precise segmentation of surgical instruments is the key link for the stable and
reasonable operation of surgical robots. However, accurate surgical instrument …
reasonable operation of surgical robots. However, accurate surgical instrument …
Surgical tool datasets for machine learning research: a survey
M Rodrigues, M Mayo, P Patros - International Journal of Computer Vision, 2022 - Springer
This paper is a comprehensive survey of datasets for surgical tool detection and related
surgical data science and machine learning techniques and algorithms. The survey offers a …
surgical data science and machine learning techniques and algorithms. The survey offers a …
Semantic-SuPer: a semantic-aware surgical perception framework for endoscopic tissue identification, reconstruction, and tracking
Accurate and robust tracking and reconstruction of the surgical scene is a critical enabling
technology toward autonomous robotic surgery. Existing algorithms for 3D perception in …
technology toward autonomous robotic surgery. Existing algorithms for 3D perception in …
Deep learning based image processing for robot assisted surgery: a systematic literature survey
The recent advancements in the surging field of Deep Learning (DL) have revolutionized
every sphere of life, and the healthcare domain is no exception. The enormous success of …
every sphere of life, and the healthcare domain is no exception. The enormous success of …