Machine learning and deep learning for brain tumor MRI image segmentation
Brain tumors are often fatal. Therefore, accurate brain tumor image segmentation is critical
for the diagnosis, treatment, and monitoring of patients with these tumors. Magnetic …
for the diagnosis, treatment, and monitoring of patients with these tumors. Magnetic …
A comparative study of state-of-the-art skin image segmentation techniques with CNN
Skin cancer is caused by genetic uncertainty or an irregular growth of cells, mostly grows
when our skin is exposed to sun. In people, melanoma is a common type of cancer …
when our skin is exposed to sun. In people, melanoma is a common type of cancer …
[PDF][PDF] Image segmentation techniques: A survey
W Khan - Journal of image and graphics, 2013 - academia.edu
Image segmentation is a mechanism used to divide an image into multiple segments. It will
make image smooth and easy to evaluate. Segmentation process also helps to find region of …
make image smooth and easy to evaluate. Segmentation process also helps to find region of …
Assessing the impact of segmentation on wheat stripe rust disease classification using computer vision and deep learning
Wheat is a staple crop that is grown across the world due to its substantial contribution to
human nutrition. Its significance is evident as it provides almost 20% of calories and protein …
human nutrition. Its significance is evident as it provides almost 20% of calories and protein …
Multilevel image segmentation with adaptive image context based thresholding
Neural network based image segmentation techniques primarily focus on the selection of
appropriate thresholding points in the image feature space. Research initiatives in this …
appropriate thresholding points in the image feature space. Research initiatives in this …
Brain tumor detection and segmentation using hybrid intelligent algorithms
In brain tumor diagnosis, clinicians integrate their medical knowledge and brain magnetic
resonance imaging (MRI) scans to obtain the nature and pathological characteristics of brain …
resonance imaging (MRI) scans to obtain the nature and pathological characteristics of brain …
[图书][B] Soft computing for image and multimedia data processing
S Bhattacharyya, U Maulik - 2013 - Springer
In this information era, processing of noisy and noise-free images and multimedia data for
faithful analysis and retrieval of useful information has assumed utmost importance. One of …
faithful analysis and retrieval of useful information has assumed utmost importance. One of …
Hopfield neural network and fuzzy Hopfield neural network for diagnosis of liver disorders
M Neshat, AE Zadeh - 2010 5th IEEE International Conference …, 2010 - ieeexplore.ieee.org
Nowadays, artificial intelligence has a wide usage especially for designing intelligent
systems in medicine. Diagnosing and determining different kinds of diseases are a part of …
systems in medicine. Diagnosing and determining different kinds of diseases are a part of …
Segmentation and classification of lung cancer: A review
J Amin, M Sharif, M Yasmin - Immunology, Endocrine & …, 2016 - ingentaconnect.com
Lung cancer is one of the most common diseases globally, causing almost 1.3 million
deaths in a year. 80% people get affected via Non-small cell lung cancer and about 20% to …
deaths in a year. 80% people get affected via Non-small cell lung cancer and about 20% to …
Image Segmentation With Human-in-the-Loop in Automated De-Caking Process for Powder Bed Additive Manufacturing
V Asare-Manu, S Karunathilake… - … and Information in …, 2023 - asmedigitalcollection.asme.org
Additive manufacturing (AM) becomes a critical technology that increases the speed and
flexibility of production and reduces the lead time for high-mix, low-volume manufacturing …
flexibility of production and reduces the lead time for high-mix, low-volume manufacturing …