[HTML][HTML] Surgical data science–from concepts toward clinical translation

L Maier-Hein, M Eisenmann, D Sarikaya, K März… - Medical image …, 2022 - Elsevier
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 …

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 …

[HTML][HTML] Multi-scale feature retention and aggregation for colorectal cancer diagnosis using gastrointestinal images

A Haider, M Arsalan, SH Nam, JS Hong… - … Applications of Artificial …, 2023 - Elsevier
Colonoscopy is considered the gold standard for colorectal cancer diagnosis and prognosis.
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 …

From forks to forceps: A new framework for instance segmentation of surgical instruments

B Baby, D Thapar, M Chasmai… - Proceedings of the …, 2023 - openaccess.thecvf.com
Minimally invasive surgeries and related applications demand surgical tool classification
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

ZL Ni, XH Zhou, GA Wang, WQ Yue, Z Li, GB Bian… - Medical Image …, 2022 - Elsevier
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 …

DRR-Net: A dense-connected residual recurrent convolutional network for surgical instrument segmentation from endoscopic images

L Yang, Y Gu, G Bian, Y Liu - IEEE Transactions on Medical …, 2022 - ieeexplore.ieee.org
The precise segmentation of surgical instruments is the key link for the stable and
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 …

Semantic-SuPer: a semantic-aware surgical perception framework for endoscopic tissue identification, reconstruction, and tracking

S Lin, AJ Miao, J Lu, S Yu, ZY Chiu… - … on Robotics and …, 2023 - ieeexplore.ieee.org
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 …

Deep learning based image processing for robot assisted surgery: a systematic literature survey

SM Hussain, A Brunetti, G Lucarelli, R Memeo… - IEEE …, 2022 - ieeexplore.ieee.org
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 …