Review of automated computerized methods for brain tumor segmentation and classification

U Nazar, MA Khan, IU Lali, H Lin, H Ali… - Current medical …, 2020 - ingentaconnect.com
Recently, medical imaging and machine learning gained significant attention in the early
detection of brain tumor. Compound structure and tumor variations, such as change of size …

Melanoma detection and classification using computerized analysis of dermoscopic systems: a review

M Nasir, MA Khan, M Sharif, MY Javed… - Current Medical …, 2020 - ingentaconnect.com
Malignant melanoma is considered as one of the most deadly cancers, which has broadly
increased worldwide since the last decade. In 2018, around 91,270 cases of melanoma …

[PDF][PDF] A unified design of ACO and skewness based brain tumor segmentation and classification from MRI scans

UN Hussain, MA Khan, IU Lali, K Javed… - Journal of Control …, 2020 - ceai.srait.ro
Brain tumor is among the major reasons for deaths among cancerous diseases around the
world. Medical imaging technologies used to detect brain tumor is very popular these days …

Evaluation of brain tumor using brain MRI with modified-moth-flame algorithm and Kapur's thresholding: A study

S Kadry, V Rajinikanth, NSM Raja… - Evolutionary …, 2021 - Springer
Brain abnormality is a severe illness in humans. An unrecognised and untreated brain
illness will lead to a lot of complications despite of gender and age. Brain tumor is one of the …

Fusion-based multilevel thresholding for image segmentation using evolutionary algorithm

A Priya, RK Agrawal, B Rana - 2022 IEEE 9th Uttar Pradesh …, 2022 - ieeexplore.ieee.org
Image segmentation is one of the crucial steps involved in the process of digital image
processing. Bi-level segmentation is a simple task, but it can only be used when there are …

Res-UNet supported segmentation and evaluation of COVID19 lesion in lung CT

SM Kesavan, I Al Naimi, F Al Attar… - 2021 International …, 2021 - ieeexplore.ieee.org
COVID19 is one of the hash lung infections; which causes severe pneumonia in humans
and untreated infection will lead to death. The goal of this study is to employ an automated …

Hybrid image processing-based examination of 2D brain MRI slices to detect brain tumor/stroke section: a study

D Lin, V Rajinikanth, H Lin - Signal and image processing techniques for …, 2021 - Springer
In human physiology, the brain is the most important internal organ, and a disease in the
brain affects the individual severely and the untreated disease will lead to death. In the …

Automated classification of brain tumors into LGG/HGG using concatenated deep and handcrafted features

J Sivakumar, S Rajesh Kannan… - Frontiers of Artificial …, 2022 - iopscience.iop.org
The brain is an essential internal organ in human physiology, and any abnormality in the
brain will have a significant impact on an individual's daily activities. Furthermore, untreated …

Assessment of brain tumor in flair MRI slice with joint thresholding and segmentation

S Kadry, D Taniar, MN Meqdad, G Srivastava… - … Conference on Mining …, 2021 - Springer
Medical image assessment plays a vital role in hospitals during the disease assessment and
decision making. Proposed work aims to develop an image processing procedure to …

Brain MRI examination with varied modality fusion and chan-vese segmentation

D Abirami, N Shalini, V Rajinikanth, H Lin… - … Data Engineering and …, 2021 - Springer
Newly, varied techniques are implemented to improve and mine the apprehensive segment
from the brain MRI obtained with diverse modalities. This work executes an image-fusion …