Soft computing approaches for image segmentation: a survey
Image segmentation is the method of partitioning an image into a group of pixels that are
homogenous in some manner. The homogeneity dependents on some attributes like …
homogenous in some manner. The homogeneity dependents on some attributes like …
Application of feature extraction and classification methods for histopathological image using GLCM, LBP, LBGLCM, GLRLM and SFTA
Classification of histopathologic images and identification of cancerous areas is quite
challenging due to image background complexity and resolution. The difference between …
challenging due to image background complexity and resolution. The difference between …
Nature inspired optimization techniques for image processing—A short review
Nature–inspired optimization techniques play an essential role in the field of image
processing. It reduces the noise and blurring of images and also improves the image …
processing. It reduces the noise and blurring of images and also improves the image …
Image segmentation using computational intelligence techniques
Image segmentation methodology is a part of nearly all computer schemes as a pre-
processing phase to excerpt more meaningful and useful information for analysing the …
processing phase to excerpt more meaningful and useful information for analysing the …
A hybrid artificial bee colony with whale optimization algorithm for improved breast cancer diagnosis
Breast cancer is the most common among women that leads to death if not diagnosed at
early stages. Early diagnosis plays a vital role in decreasing the mortality rate globally …
early stages. Early diagnosis plays a vital role in decreasing the mortality rate globally …
Modified genetic algorithm approaches for classification of abnormal magnetic resonance brain tumour images
DJ Hemanth, J Anitha - Applied Soft Computing, 2019 - Elsevier
Genetic Algorithm (GA) is one of the bio-inspired optimization techniques available for
practical applications. The increasing necessity for bio-inspired optimization techniques has …
practical applications. The increasing necessity for bio-inspired optimization techniques has …
[HTML][HTML] An adaptive harmony search approach for gene selection and classification of high dimensional medical data
R Dash - Journal of King Saud University-Computer and …, 2021 - Elsevier
In Bioinformatics, microarray data analysis has gained substantial attention for disease
diagnosis. Microarray data is represented with a huge search space which imposes the …
diagnosis. Microarray data is represented with a huge search space which imposes the …
A new hybrid system combining active learning and particle swarm optimisation for medical data classification
With the increase of unlabeled data in medical datasets, the labelling process becomes a
more costly task. Therefore, active learning provides a framework to reduce the amount the …
more costly task. Therefore, active learning provides a framework to reduce the amount the …
A multilevel transfer learning technique and LSTM framework for generating medical captions for limited CT and DBT images
RV Aswiga, AP Shanthi - Journal of digital imaging, 2022 - Springer
Medical image captioning has been recently attracting the attention of the medical
community. Also, generating captions for images involving multiple organs is an even more …
community. Also, generating captions for images involving multiple organs is an even more …
Diabetic retinopathy detection
AM Kumar, ASG Kanna, RG Franklin - International Conference on …, 2020 - Springer
Diabetic retinopathy is a problem with diabetes which affects the eyes. It is caused by
damage to the light-touchy tissue veins at the back of the eye (retina). Diabetic retinopathy …
damage to the light-touchy tissue veins at the back of the eye (retina). Diabetic retinopathy …