Medical image analysis using convolutional neural networks: a review
The science of solving clinical problems by analyzing images generated in clinical practice
is known as medical image analysis. The aim is to extract information in an affective and …
is known as medical image analysis. The aim is to extract information in an affective and …
Change detection techniques for remote sensing applications: A survey
A Asokan, J Anitha - Earth Science Informatics, 2019 - Springer
Change detection captures the spatial changes from multi temporal satellite images due to
manmade or natural phenomenon. It is of great importance in remote sensing, monitoring …
manmade or natural phenomenon. It is of great importance in remote sensing, monitoring …
An improved African vultures optimization algorithm using different fitness functions for multi-level thresholding image segmentation
FS Gharehchopogh, T Ibrikci - Multimedia Tools and Applications, 2024 - Springer
Image segmentation is one of the most significant and required procedures in pre-
processing and analyzing images. Metaheuristic optimization algorithms are used to solve a …
processing and analyzing images. Metaheuristic optimization algorithms are used to solve a …
Dynamic harris hawks optimization with mutation mechanism for satellite image segmentation
In this paper, a novel satellite image segmentation technique based on dynamic Harris
hawks optimization with a mutation mechanism (DHHO/M) is proposed. Compared with the …
hawks optimization with a mutation mechanism (DHHO/M) is proposed. Compared with the …
An improved marine predators algorithm with fuzzy entropy for multi-level thresholding: real world example of COVID-19 CT image segmentation
Medical imaging techniques play a critical role in diagnosing diseases and patient
healthcare. They help in treatment, diagnosis, and early detection. Image segmentation is …
healthcare. They help in treatment, diagnosis, and early detection. Image segmentation is …
An ensemble model for the diagnosis of brain tumors through MRIs
E Ghafourian, F Samadifam, H Fadavian… - Diagnostics, 2023 - mdpi.com
Automatic brain tumor detection in MR Images is one of the basic applications of machine
vision in medical image processing, which, despite much research, still needs further …
vision in medical image processing, which, despite much research, still needs further …
A novel hybrid harris hawks optimization for color image multilevel thresholding segmentation
X Bao, H Jia, C Lang - Ieee Access, 2019 - ieeexplore.ieee.org
Multilevel thresholding has got more attention in recent years with various successful
applications. However, the implementation becomes more and more complex and time …
applications. However, the implementation becomes more and more complex and time …
Segmentation of images by color features: A survey
Image segmentation is an important stage for object recognition. Many methods have been
proposed in the last few years for grayscale and color images. In this paper, we present a …
proposed in the last few years for grayscale and color images. In this paper, we present a …
Image segmentation using multilevel thresholding: a research review
Image segmentation is a basic problem in computer vision and various image processing
applications. Over the years, commonly used image segmentation has become quite …
applications. Over the years, commonly used image segmentation has become quite …
Image thresholding approaches for medical image segmentation-short literature review
Medical image analysis is an invaluable tool in medicine. Different imaging modalities
provide an effective means for mapping images that can feed machine and deep learning …
provide an effective means for mapping images that can feed machine and deep learning …