Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning

MA Talukder, MM Islam, MA Uddin, A Akhter… - Expert Systems with …, 2022 - Elsevier
Cancer is a fatal disease caused by a combination of genetic diseases and a variety of
biochemical abnormalities. Lung and colon cancer have emerged as two of the leading …

A comparison between VGG16, VGG19 and ResNet50 architecture frameworks for Image Classification

S Mascarenhas, M Agarwal - 2021 International conference on …, 2021 - ieeexplore.ieee.org
Artificial Intelligence advancements have come a long way over the past twenty years. Rapid
developments in AI have given birth to a trending topic called machine learning. Machine …

A novel deep learning-based approach for malware detection

K Shaukat, S Luo, V Varadharajan - Engineering Applications of Artificial …, 2023 - Elsevier
Malware detection approaches can be classified into two classes, including static analysis
and dynamic analysis. Conventional approaches of the two classes have their respective …

Advancements and Prospects of Machine Learning in Medical Diagnostics: Unveiling the Future of Diagnostic Precision

S Asif, Y Wenhui, S ur-Rehman, Q ul-ain… - … Methods in Engineering, 2024 - Springer
Abstract Machine learning (ML) has emerged as a versatile and powerful tool in various
fields of medicine, revolutionizing early disease diagnosis, particularly in cases where …

Tongue contour tracking and segmentation in lingual ultrasound for speech recognition: A review

K Al-Hammuri, F Gebali, I Thirumarai Chelvan… - Diagnostics, 2022 - mdpi.com
Lingual ultrasound imaging is essential in linguistic research and speech recognition. It has
been used widely in different applications as visual feedback to enhance language learning …

Developing a tuned three-layer perceptron fed with trained deep convolutional neural networks for cervical cancer diagnosis

S Fekri-Ershad, MF Alsaffar - Diagnostics, 2023 - mdpi.com
Cervical cancer is one of the most common types of cancer among women, which has
higher death-rate than many other cancer types. The most common way to diagnose cervical …

[HTML][HTML] Sentiment analysis on images using convolutional neural networks based Inception-V3 transfer learning approach

G Meena, KK Mohbey, S Kumar - International journal of information …, 2023 - Elsevier
Sentiment analysis has become a precious tool for businesses because it can be used in so
many ways: to find out what customers think about products and services, to build customer …

Hybrid arithmetic optimization algorithm with hunger games search for global optimization

S Mahajan, L Abualigah, AK Pandit - Multimedia Tools and Applications, 2022 - Springer
Recently, many population-dependent methods have been proposed. Despite their
acceptance in many applications, we are still exploring suggested methods to solve actual …

An approach to classify lung and colon cancer of histopathology images using deep feature extraction and an ensemble method

O Singh, KK Singh - International journal of information technology, 2023 - Springer
Cancer is a deadly condition brought on by a range of metabolic anomalies and genetic
disorders. Lung and colon cancer in particular is among the leading causes of death and …

Machine Learning‐Based Lung Cancer Detection Using Multiview Image Registration and Fusion

I Nazir, I Haq, SA AlQahtani, MM Jadoon… - Journal of …, 2023 - Wiley Online Library
The exact lung cancer identification is a critical problem that has attracted the researchers'
attention. The practice of multiview single image and segmentation has been widely used for …