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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 …
[HTML][HTML] Methods and datasets for segmentation of minimally invasive surgical instruments in endoscopic images and videos: A review of the state of the art
In the field of computer-and robot-assisted minimally invasive surgery, enormous progress
has been made in recent years based on the recognition of surgical instruments in …
has been made in recent years based on the recognition of surgical instruments in …
Progressive adjacent-layer coordination symmetric cascade network for semantic segmentation of multimodal remote sensing images
Semantic segmentation of remote sensing images is a fundamental task in computer vision,
with significant applications in forest and farmland cover surveys, geological disaster …
with significant applications in forest and farmland cover surveys, geological disaster …
Mini-infrared thermal imaging system image denoising with multi-head feature fusion and detail enhancement network
The mini-infrared thermal imaging system (MITIS) has been widely applied in outdoor
photography, military observation, medical auxiliary diagnosis, and so on. However, due to …
photography, military observation, medical auxiliary diagnosis, and so on. However, due to …
Demonstrating the successful application of synthetic learning in spine surgery for training multi–center models with increased patient privacy
From real–time tumor classification to operative outcome prediction, applications of machine
learning to neurosurgery are powerful. However, the translation of many of these …
learning to neurosurgery are powerful. However, the translation of many of these …
Improving Surgical scene semantic segmentation through a deep learning architecture with attention to class imbalance
This article addresses the semantic segmentation of laparoscopic surgery images, placing
special emphasis on the segmentation of structures with a smaller number of observations …
special emphasis on the segmentation of structures with a smaller number of observations …
Multi-scale noise-guided progressive network for image splicing detection and localization
Image splicing can easily be used in illegal activities, which may have negative impact on
society. Therefore, detecting splicing images and precisely localizing tampered regions are …
society. Therefore, detecting splicing images and precisely localizing tampered regions are …
Robust segmentation of underwater fish based on multi-level feature accumulation
Because fish are vital to marine ecosystems, monitoring and accurate detection are crucial
for assessing the potential for fisheries in these environments. Conventionally, fish-related …
for assessing the potential for fisheries in these environments. Conventionally, fish-related …
[HTML][HTML] Computer-aided fish assessment in an underwater marine environment using parallel and progressive spatial information fusion
Fish assessment and monitoring are important for the development of a modern aquatic
ecosystem. Fish are a vital part of the marine and freshwater environments. Morphological …
ecosystem. Fish are a vital part of the marine and freshwater environments. Morphological …
[HTML][HTML] A novel deep learning-based mitosis recognition approach and dataset for uterine leiomyosarcoma histopathology
Simple Summary In this paper, we present an artificial Intelligence (AI) based automatic
detection of mitoses in Uterine Leiomyosarcoma. Mitotic count is one of the important …
detection of mitoses in Uterine Leiomyosarcoma. Mitotic count is one of the important …