Region based segmentation in presence of intensity inhomogeneity using legendre polynomials
We propose a novel region based segmentation method capable of segmenting objects in
presence of significant intensity variation. Current solutions use some form of local …
presence of significant intensity variation. Current solutions use some form of local …
A system for weeds and crops identification—reaching over 10 fps on raspberry pi with the usage of mobilenets, densenet and custom modifications
Automated weeding is an important research area in agrorobotics. Weeds can be removed
mechanically or with the precise usage of herbicides. Deep Learning techniques achieved …
mechanically or with the precise usage of herbicides. Deep Learning techniques achieved …
Fast virtual histology using X-ray in-line phase tomography: application to the 3D anatomy of maize develo** seeds
Background Despite increasing demand, imaging the internal structure of plant organs or
tissues without the use of transgenic lines expressing fluorescent proteins remains a …
tissues without the use of transgenic lines expressing fluorescent proteins remains a …
How to collect segmentations for biomedical images? A benchmark evaluating the performance of experts, crowdsourced non-experts, and algorithms
Analyses of biomedical images often rely on demarcating the boundaries of biological
structures (segmentation). While numerous approaches are adopted to address the …
structures (segmentation). While numerous approaches are adopted to address the …
Automatic localization of anatomical regions in medical ultrasound images of rheumatoid arthritis using deep learning
RJ Hemalatha, V Vijaybaskar… - Proceedings of the …, 2019 - journals.sagepub.com
The pace of population aging is growing faster worldwide. The quality of life of the aging
population is mostly affected by rheumatic diseases. With the increasing rate of rheumatoid …
population is mostly affected by rheumatic diseases. With the increasing rate of rheumatoid …
[HTML][HTML] A fractional order derivative based active contour model for inhomogeneous image segmentation
B Chen, S Huang, Z Liang, W Chen, B Pan - Applied Mathematical …, 2019 - Elsevier
Segmenting intensity inhomogeneous images is a challenging task for both local and global
methods. Some hybrid methods have great advantages over the traditional methods in …
methods. Some hybrid methods have great advantages over the traditional methods in …
Automatic detection of impact damage in carbon fiber composites using active thermography
Accidental impacts can severely reduce the structural strength and stability of composite
materials, which can lead to severe consequences due to the degradation of the mechanical …
materials, which can lead to severe consequences due to the degradation of the mechanical …
[HTML][HTML] Automatic segmentation of the left ventricle in echocardiographic images using convolutional neural networks
Background Two-dimensional echocardiography (2D echo) is the most widely used non-
invasive imaging modality due to its fast acquisition time, low cost, and high temporal …
invasive imaging modality due to its fast acquisition time, low cost, and high temporal …
[PDF][PDF] An Efficient Breast Cancer Detection Framework for Medical Diagnosis Applications.
Breast cancer is the most common type of cancer, and it is the reason for cancer death toll in
women in recent years. Early diagnosis is essential to handle breast cancer patients for …
women in recent years. Early diagnosis is essential to handle breast cancer patients for …
Brain metastases detection on MR by means of three‐dimensional tumor‐appearance template matching
Ú Pérez‐Ramírez, E Arana… - Journal of Magnetic …, 2016 - Wiley Online Library
Purpose To develop and evaluate a method for an automatic detection of brain metastases
in MR images. Materials and Methods Nineteen patients were scanned using a 1.5 Tesla …
in MR images. Materials and Methods Nineteen patients were scanned using a 1.5 Tesla …