Machine learning-based models in the diagnosis, prognosis and effective cancer therapeutics: current state-of-the-art

FN Khan, M Yousef, K Raza - … in diagnosis, prognosis and therapeutics of …, 2022 - Springer
Currently, the advancement of computational intelligence (CI) and machine learning (ML)
leading to the integration of methods. Cancer, one of the major challenges in organisms, is …

A hybrid model for lung cancer prediction using patch processing and deeplearning on CT images

C Venkatesh, J Chinna Babu, A Kiran… - Multimedia Tools and …, 2024 - Springer
Cancer is a common disease with an increasing mortality rate in recent years. Lung cancer
is the most common cancer in men and women alike. It is caused by uncontrolled cell …

[PDF][PDF] Texture feature extraction to improve accuracy of malignant and benign cancer detection on ct-scan images

S Widodo, I Rosyid, M Faizuddin… - International Journal of …, 2020 - researchgate.net
Lung cancer is a type of lung disease characterized by uncontrolled cell growth in lung
tissue, whereas nodules (benign cancer) are small, round or egg-shaped lesions in the …

Binary Count Ratio for Lung Cancer Classification in Computerized Tomography Scan Images

S Saechueng, U Suttapakti - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Accurate lung cancer classification is important for patient treatment. However, existing
methods inefficiently classify lung cancer. Therefore, the binary count ratio (BCR) is …

Glcm based feature extraction and medical x-ray image classification using machine learning techniques

J Rout, SK Das, P Mohalik, S Mohanty… - … on Intelligent Systems …, 2022 - Springer
The automated system is now created with excellent accuracy to detect abnormalities in X-
ray images. To enhance the appearance of medical photographs, image pre-processing …

An Efficient Classification Method Using GLCM and Decision Tree Classifier Check for updates

P Gulande, RN Awale - … : Proceedings of ICT4SD 2023, Volume 2, 2023 - books.google.com
The treatment of lung cancer and related diseases is a major concern of medical science.
Death due to lung cancer is seen as a leading cause and therefore early detection and …

Identification Texture of Rice Varieties by Feature Extraction using GLCM

A Setiawan, K Adi, CE Widodo - E3S Web of Conferences, 2023 - e3s-conferences.org
Rice is one of the components of staple ingredients included in the issue of world food
security in the Sustainable Development Goals (SDGs) program. A large number of varieties …

Texture feature extraction: impact of variants on performance of machine learning classifiers: study on chest x-ray–pneumonia images

A Gupta, A Gupta, V Verma, A Khattar… - Big Data Analytics: 8th …, 2020 - Springer
Image textures are a set of image characteristics used for identifying regions of interests
(ROIs) in images. These numerical features can thus be used to classify images in various …

PENGEMBANGKAN MODEL EKSTRAKSI REGION OF INTEREST SECARA OTOMATIS PADA CITRA CT-SCAN

S Widodo, M Faizuddin, ZA Long - Prosiding Seminar Informasi …, 2023 - ojs.udb.ac.id
Kanker paru adalah pertumbuhan sel kanker yang tidak terkendali dalam jaringan paru.
Akhir-akhir ini banyak peneliti yang telah menerapkan deep learning, khususnya …

An Efficient Classification Method Using GLCM and Decision Tree Classifier

P Gulande, RN Awale - International Conference on ICT for Sustainable …, 2023 - Springer
The treatment of lung cancer and related diseases is a major concern of medical science.
Death due to lung cancer is seen as a leading cause and therefore early detection and …