Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review

D Painuli, S Bhardwaj - Computers in Biology and Medicine, 2022 - Elsevier
Being a second most cause of mortality worldwide, cancer has been identified as a perilous
disease for human beings, where advance stage diagnosis may not help much in …

[HTML][HTML] AI applications in robotics, diagnostic image analysis and precision medicine: Current limitations, future trends, guidelines on CAD systems for medicine

T Habuza, AN Navaz, F Hashim, F Alnajjar… - Informatics in Medicine …, 2021 - Elsevier
Background AI in healthcare has been recognized by both academia and industry in
revolutionizing how healthcare services will be offered by healthcare service providers and …

Classification of lung nodules based on CT images using squeeze-and-excitation network and aggregated residual transformations

G Zhang, Z Yang, L Gong, S Jiang, L Wang… - La radiologia medica, 2020 - Springer
Lung cancer is pointed as a leading cause of cancer death worldwide. Early lung nodule
diagnosis has great significance for treating lung cancer and increasing patient survival. In …

Genetic algorithm-enhanced microcomb state generation

C Mazoukh, L Di Lauro, I Alamgir, B Fischer… - Communications …, 2024 - nature.com
Microcavities enable the generation of highly efficient microcombs, which find applications in
various domains, such as high-precision metrology, sensing, and telecommunications. Such …

Lung Cancer Classification Using Squeeze and Excitation Convolutional Neural Networks with Grad Cam++ Class Activation Function.

N Joshua, E Stephen, D Bhattacharyya… - Traitement Du …, 2021 - search.ebscohost.com
The leading cause of cancer-related death globally has been identified as lung cancer. Early
lung nodule detection is critical for lung cancer therapy and patient survival. The Gard …

Computer-aided diagnosis of malignant or benign thyroid nodes based on ultrasound images

Q Yu, T Jiang, A Zhou, L Zhang, C Zhang… - European Archives of Oto …, 2017 - Springer
The objective of this study is to evaluate the diagnostic value of combination of artificial
neural networks (ANN) and support vector machine (SVM)-based CAD systems in …

Survey of computer aided detection systems for lung cancer in computed tomography

SA El-Regaily, MA Salem, MH Abdel Aziz… - Current Medical …, 2018 - ingentaconnect.com
Background: One of the primary causes of tumor death in the world is lung cancer. Lung
cancer is caused by abnormalities in the lung called nodules. Different medical imaging …

Machine learning techniques for pulmonary nodule computer-aided diagnosis using CT images: A systematic review

H Jin, C Yu, Z Gong, R Zheng, Y Zhao, Q Fu - … Signal Processing and …, 2023 - Elsevier
Objective Early detection of pulmonary nodules is critical for the prevention and treatment of
lung cancer. Concomitant with recent advancements in computer performance and …

Review on lung nodule segmentation-based lung cancer classification using machine learning approaches

S Shamas, SN Panda, I Sharma - Artificial Intelligence on Medical Data …, 2022 - Springer
Lung cancer or lung carcinoma is one of the major reasons for non-accidental death in the
world with a high fatality rate in both men and women. The major cause of lung cancer is …

Automatic classification of pulmonary nodules in computed tomography images using pre-trained networks and bag of features

T Lima, D Luz, A Oseas, R Veras, F Araújo - Multimedia Tools and …, 2023 - Springer
Lung cancer has the highest incidence in the world. The standard tests for its diagnostics are
medical imaging exams, sputum cytology, and lung biopsy. Computed Tomography (CT) of …