GeoBIA-based semi-automated landslide detection using UAS data: A case study of Uttarakhand Himalayas
Recent developments in the field of Geographic Object-Based Image Analysis (GeoBIA)
have been utilized for the Automation of Landslide detection. In this study, we have tried to …
have been utilized for the Automation of Landslide detection. In this study, we have tried to …
Automated Grading of Angelica sinensis Using Computer Vision and Machine Learning Techniques
Z Zhang, J Xiao, W Wang, M Zielinska, S Wang, Z Liu… - Agriculture, 2024 - mdpi.com
Angelica sinensis (Oliv.) Diels, a member of the Umbelliferae family, is commonly known as
Danggui (Angelica sinensis, AS). AS has the functions of blood tonic, menstrual pain relief …
Danggui (Angelica sinensis, AS). AS has the functions of blood tonic, menstrual pain relief …
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation
In the domain of medical imaging, many supervised learning based methods for
segmentation face several challenges such as high variability in annotations from multiple …
segmentation face several challenges such as high variability in annotations from multiple …
MRI-based Deep Learning Models for Preoperative Breast Volume and Density Assessment Assisting Breast Reconstruction
M Chen, J Xing, L Guo - Aesthetic Plastic Surgery, 2024 - Springer
Background The volume of the implant is the most critical element of breast reconstruction,
so it is necessary to accurately assess the preoperative volume of the healthy and affected …
so it is necessary to accurately assess the preoperative volume of the healthy and affected …
Segmentation and Classification of Diabetic Retinopathy using Ensemble Deep Neural Network
Diabetic Retinopathy (DR) is an eye ailment in diabetics, often causing vision loss. Timely
retinal screenings can help prevent blindness. While DR cannot be cured, early detection …
retinal screenings can help prevent blindness. While DR cannot be cured, early detection …
Determining Effective Threshold Range of Image Pixel Values for Municipal Waste-Contaminated Clay
R Zhang, L Cao, Y Guo - Applied Sciences, 2024 - mdpi.com
Currently, more attention has been given to the study of the microstructure of contaminated
clay, while few studies have focused on the analysis of SEM images of clay from a threshold …
clay, while few studies have focused on the analysis of SEM images of clay from a threshold …
Infrared Image Enhancement Using Contrast Limited Adaptive Histogram Equalization and Denoising Convolution Neural Network
V Janani, C Shanthi - … on System Modeling & Advancement in …, 2023 - ieeexplore.ieee.org
Digital Image processing is an evolving area of research over decades. Several techniques,
algorithms, technologies, and trends are still being developed in this area. Detecting an …
algorithms, technologies, and trends are still being developed in this area. Detecting an …