Machine learning and deep learning for brain tumor MRI image segmentation

MKH Khan, W Guo, J Liu, F Dong, Z Li… - Experimental …, 2023 - journals.sagepub.com
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 …

A comparative study of state-of-the-art skin image segmentation techniques with CNN

G Nasreen, K Haneef, M Tamoor, A Irshad - Multimedia Tools and …, 2023 - Springer
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 …

[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 …

Assessing the impact of segmentation on wheat stripe rust disease classification using computer vision and deep learning

HR Bukhari, R Mumtaz, S Inayat, U Shafi, IU Haq… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

Multilevel image segmentation with adaptive image context based thresholding

S Bhattacharyya, U Maulik, P Dutta - Applied soft computing, 2011 - Elsevier
Neural network based image segmentation techniques primarily focus on the selection of
appropriate thresholding points in the image feature space. Research initiatives in this …

Brain tumor detection and segmentation using hybrid intelligent algorithms

Y Megersa, G Alemu - AFRICON 2015, 2015 - ieeexplore.ieee.org
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 …

[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 …

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 …

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 …

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 …