Machine learning in medical applications: A review of state-of-the-art methods

M Shehab, L Abualigah, Q Shambour… - Computers in Biology …, 2022 - Elsevier
Applications of machine learning (ML) methods have been used extensively to solve various
complex challenges in recent years in various application areas, such as medical, financial …

[HTML][HTML] Applied machine learning in cancer research: A systematic review for patient diagnosis, classification and prognosis

K Kourou, KP Exarchos, C Papaloukas… - Computational and …, 2021 - Elsevier
Artificial Intelligence (AI) has recently altered the landscape of cancer research and medical
oncology using traditional Machine Learning (ML) algorithms and cutting-edge Deep …

Deep learning assisted efficient AdaBoost algorithm for breast cancer detection and early diagnosis

J Zheng, D Lin, Z Gao, S Wang, M He, J Fan - Ieee Access, 2020 - ieeexplore.ieee.org
Breast cancer is one of the most dangerous diseases and the second largest cause of
female cancer death. Breast cancer starts when malignant, cancerous lumps start to grow …

[HTML][HTML] Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images

CC Ukwuoma, D Cai, MBB Heyat, O Bamisile… - Journal of King Saud …, 2023 - Elsevier
COVID-19 is a contagious disease that affects the human respiratory system. Infected
individuals may develop serious illnesses, and complications may result in death. Using …

Deep learning assisted predict of lung cancer on computed tomography images using the adaptive hierarchical heuristic mathematical model

H Yu, Z Zhou, Q Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Lung cancer is known to be one of the most dangerous diseases which are the main reason
for disease and death when diagnosed in primitive stages. Since lung cancer can only be …

[HTML][HTML] Machine learning and deep learning applications in multiple myeloma diagnosis, prognosis, and treatment selection

A Allegra, A Tonacci, R Sciaccotta, S Genovese… - Cancers, 2022 - mdpi.com
Simple Summary Multiple myeloma is a malignant neoplasm of plasma cells with complex
pathogenesis. With major progresses in multiple myeloma research, it is essential that we …

[PDF][PDF] Unveiling early detection and prevention of cancer: Machine learning and deep learning approaches

S Khandakar, MA Al Mamun, MM Islam… - … : Theory and Practice, 2024 - researchgate.net
This research discusses the use of machine learning and deep learning techniques for
cancer detection and screening. The use of machine learning and deep learning algorithms …

Advances in deep learning models for resolving medical image segmentation data scarcity problem: A topical review

AK Upadhyay, AK Bhandari - Archives of Computational Methods in …, 2024 - Springer
Deep learning (DL) methods have recently become state-of-the-art in most automated
medical image segmentation tasks. Some of the biggest challenges in this field are related …

[PDF][PDF] Deep learning model for diagnosis of corona virus disease from CT images

MA Cifci - Int. J. Sci. Eng. Res, 2020 - pfigshare-u-files.s3.amazonaws.com
Purpose: SARS-COV-2, a severe acute respiratory syndrome, has caused more than 1
million to be infected worldwide. Corona Virus Disease, known as COVID-19, has cases that …

Breast cancer prognosis based on transfer learning techniques in deep neural networks

M Diwakaran, D Surendran - Information Technology and Control, 2023 - itc.ktu.lt
Breast cancer is a major cause of death among women in both developed and
underdeveloped countries. Early detection and diagnosis of breast cancer are crucial for …