Deep Learning Based Image Processing for Robot Assisted Surgery: A Systematic Literature Survey
IEEE Access, 2022 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 DL models, particularly with image data, has led to the development of image ...
Sardar Mehboob Hussain +5 more
semanticscholar +1 more source
Glaucoma Detection Using Image Processing and Supervised Learning for Classification
Journal of Healthcare Engineering, 2022 A difficult challenge in the realm of biomedical engineering is the detection of physiological changes occurring inside the human body, which is a difficult undertaking.
Shubham Joshi +5 more
semanticscholar +1 more source
Computer-assisted sperm analysis (CASA) in veterinary science: A review
Indian Journal of Animal Sciences, 2021 Computer-assisted sperm analysis (CASA) allows an assessment of sperm motion and morphology more accurately and objectively than by subjective evaluation.
A. Singh, A. Kumar, A. Bisla
semanticscholar +1 more source
Edge-computing-assisted intelligent processing of AI-generated image content
Journal of Real-Time Image Processing, 2023 Abstract Artificial intelligence-generated image content (AIGIC) is produced through the extraction of features and patterns from a vast image dataset, requiring substantial computational resources for training. This study aims to enhance image processing and response time on terminal devices by utilizing edge computing technology to offload ...
Suzhen Wang +3 more
openaire +1 more source
Osteosarcoma MRI Image-Assisted Segmentation System Base on Guided Aggregated Bilateral Network
Mathematics, 2022 Osteosarcoma is a primary malignant tumor. It is difficult to cure and expensive to treat. Generally, diagnosis is made by analyzing MRI images of patients.
Yedong Shen, Fangfang Gou, Zhehao Dai
semanticscholar +1 more source
A computer-assisted experiment to study the influence of the point spread function in the image formation process [PDF]
European Journal of Physics, 2018 We present a new open experimental setup assisted with LabView to be used to teach the concept of the point spread function (PSF). The PSF describes the response of an image-forming system to a point object. The PSF concept is of fundamental importance in optics since the output of an image-forming system can be simulated as the convolution of the PSF ...
Ferrando Martín, Vicente +4 more
openaire +5 more sources
One-Pixel Attack Deceives Computer-Assisted Diagnosis of Cancer [PDF]
International Conference on Signal Processing and Machine Learning, 2020 Computer vision and machine learning can be used to automate various tasks in cancer diagnostic and detection. If an attacker can manipulate the automated processing, the results can be devastating and in the worst case lead to wrong diagnosis and ...
Joni Korpihalkola +3 more
semanticscholar +1 more source
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation [PDF]
, 2015 Automatic organ segmentation is an important yet challenging problem for medical image analysis. The pancreas is an abdominal organ with very high anatomical variability.
Farag, Amal +6 more
core +1 more source
Recent trends, technical concepts and components of computer-assisted orthopedic surgery systems: A comprehensive review [PDF]
, 2019 Computer-assisted orthopedic surgery (CAOS) systems have become one of the most important and challenging types of system in clinical orthopedics, as they enable precise treatment of musculoskeletal diseases, employing modern clinical navigation systems ...
Kalová, Martina +5 more
core +1 more source
, 2021 The medical field is creating large amount of data that physicians are unable to decipher and use efficiently. Moreover, rule-based expert systems are inefficient in solving complicated medical tasks or for creating insights using big data. Deep learning
Bizopoulos, Paschalis +1 more
core +1 more source