Computer vision for microscopic skin cancer diagnosis using handcrafted and non‐handcrafted features
T Saba - Microscopy Research and Technique, 2021 - Wiley Online Library
Skin covers the entire body and is the largest organ. Skin cancer is one of the most dreadful
cancers that is primarily triggered by sensitivity to ultraviolet rays from the sun. However, the …
cancers that is primarily triggered by sensitivity to ultraviolet rays from the sun. However, the …
Artificial intelligence in brain tumor detection through MRI scans: advancements and challenges
A brain tumor is one of the most perilous diseases in human beings. The manual
segmentation of brain tumors is costly and takes a lot of time; due to this reason, automated …
segmentation of brain tumors is costly and takes a lot of time; due to this reason, automated …
Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture
Brain tumor is one of the most dreadful natures of cancer and caused a huge number of
deaths among kids and adults from the past few years. According to WHO standard, the …
deaths among kids and adults from the past few years. According to WHO standard, the …
Brain tumor segmentation using K‐means clustering and deep learning with synthetic data augmentation for classification
Image processing plays a major role in neurologists' clinical diagnosis in the medical field.
Several types of imagery are used for diagnostics, tumor segmentation, and classification …
Several types of imagery are used for diagnostics, tumor segmentation, and classification …
Brain tumor detection and multi‐classification using advanced deep learning techniques
A brain tumor is an uncontrolled development of brain cells in brain cancer if not detected at
an early stage. Early brain tumor diagnosis plays a crucial role in treatment planning and …
an early stage. Early brain tumor diagnosis plays a crucial role in treatment planning and …
Broad learning approach to Surrogate-Assisted Multi-Objective evolutionary fuzzy clustering algorithm based on reference points for color image segmentation
F Zhao, Y Liu, H Liu, J Fan - Expert Systems with Applications, 2022 - Elsevier
For some real-world problems, the objective function evaluation is time-consuming and
computationally expensive in multi-objective evolutionary algorithms. Surrogate-assistance …
computationally expensive in multi-objective evolutionary algorithms. Surrogate-assistance …
Microscopic segmentation and classification of COVID‐19 infection with ensemble convolutional neural network
J Amin, MA Anjum, M Sharif, A Rehman… - Microscopy research …, 2022 - Wiley Online Library
The detection of biological RNA from sputum has a comparatively poor positive rate in the
initial/early stages of discovering COVID‐19, as per the World Health Organization. It has a …
initial/early stages of discovering COVID‐19, as per the World Health Organization. It has a …
Predictive models of hospital readmission rate using the improved AdaBoost in COVID-19
A Raftarai, RR Mahounaki, M Harouni… - … for COVID-19, 2021 - taylorfrancis.com
In 2019, an unknown virus called COVID-19 was identified, which affected all aspects of life
in the world. With the outbreak of this virus, the need for health services became more and …
in the world. With the outbreak of this virus, the need for health services became more and …
Internet of medical things embedding deep learning with data augmentation for mammogram density classification
Females are approximately half of the total population worldwide, and most of them are
victims of breast cancer (BC). Computer‐aided diagnosis (CAD) frameworks can help …
victims of breast cancer (BC). Computer‐aided diagnosis (CAD) frameworks can help …
Boosted Aquila Arithmetic Optimization Algorithm for multi-level thresholding image segmentation
L Abualigah, NK Al-Okbi, EM Awwad, M Sharaf… - Evolving Systems, 2024 - Springer
The traditional threshold methods used for image segmentation are effective for bi-level
thresholds. In the case of complex images that contain many objects or color images, the …
thresholds. In the case of complex images that contain many objects or color images, the …