One step surgical scene restoration for robot assisted minimally invasive surgery
Minimally invasive surgery (MIS) offers several advantages to patients including minimum
blood loss and quick recovery time. However, lack of tactile or haptic feedback and poor …
blood loss and quick recovery time. However, lack of tactile or haptic feedback and poor …
Sugarcane diseases identification and detection via machine learning
M Mostafizur Rahman Komol, M Sabid Hasan… - Computer Vision and …, 2023 - Springer
Sugarcane diseases are major concern for the global sugarcane market, as they can
significantly impact crop yield and quality. This can result in economic losses for farmers and …
significantly impact crop yield and quality. This can result in economic losses for farmers and …
Arthroscopic scene segmentation using multispectral reconstructed frames and deep learning
Background Knee arthroscopy is one of the most complex minimally invasive surgeries, and
it is routinely performed to treat a range of ailments and injuries to the knee joint. Its complex …
it is routinely performed to treat a range of ailments and injuries to the knee joint. Its complex …
Surface reflectance: a metric for untextured surgical scene segmentation
Segmentation is a process to understand scene context captured by a camera, and it is
commonly used to solve many robotic problems such as localization and tracking. The utility …
commonly used to solve many robotic problems such as localization and tracking. The utility …
Learning from learned network: an introspective model for arthroscopic scene segmentation
The knee joint, due to its complex, confined, and dynamic nature, poses several challenges
in visualizing anatomical details for diagnostic and minimally invasive surgical procedures …
in visualizing anatomical details for diagnostic and minimally invasive surgical procedures …
A New Methodology to Detect Plant Disease Using Reprojected Multispectral Images from RGB Colour Space
Plant disease detection is a pivotal step to prevent crop damage and maximise the crop
yield. Although recent deep learning-based techniques achieved significant progress in this …
yield. Although recent deep learning-based techniques achieved significant progress in this …
US Scanning Technologies and AI
Medical scanning techniques bring the revolution in the health sector by incorporating
cutting-edge scanning technology and methods which achieved significant progress to …
cutting-edge scanning technology and methods which achieved significant progress to …
Analysis of the Performance of YOLO Models for Tomato Plant Diseases Identification
S Ahmed - Computer Vision and Machine Learning in Agriculture …, 2023 - Springer
Disease detection is an important task of field robotics for precision agriculture. Inspired by
the deep learning model in performing high-level vision tasks, this research focused to …
the deep learning model in performing high-level vision tasks, this research focused to …
RGB to Multispectral Remap: A Cost-Effective Novel Approach to Recognize and Segment Plant Disease
Multispectral images represent radiant spectral energy captured at several light
wavelengths; hence, these images are able to convey meaningful information related to the …
wavelengths; hence, these images are able to convey meaningful information related to the …
US Scanning Technologies and AI Check for updates
S Ali, S Ahmed - Scanning Technologies for Autonomous Systems - books.google.com
1 Introduction Ultrasound scanning technology has numerous impacts in healthcare which
allows to scan patients' anatomy as well as their physiological characteristics in noninvasive …
allows to scan patients' anatomy as well as their physiological characteristics in noninvasive …