By artificial intelligence algorithms and machine learning models to diagnosis cancer

S Agarwal, AS Yadav, V Dinesh, KSS Vatsav… - Materials Today …, 2023 - Elsevier
Cancer is one of the world's most critical health issues. Many in the past decade More
accurately, diagnostic tests and methodologies have been enhanced. Tests are categorised …

Artificial intelligence techniques for cancer detection in medical image processing: A review

C Kaur, U Garg - Materials Today: Proceedings, 2023 - Elsevier
Cancer is the uncontrolled growth of abnormal cells in any part of a body. Cancer is a broad
term for a group of diseases caused when abnormal cells grows in different body parts …

Analyzing the impact of machine learning and artificial intelligence and its effect on management of lung cancer detection in covid-19 pandemic

RSK Boddu, P Karmakar, A Bhaumik, VK Nassa… - Materials Today …, 2022 - Elsevier
Cancer victims, particularly those with lung cancer, are more susceptible and at higher
danger of COVID-19 and associated consequences as a result of their compromised …

Artificial intelligence in medical Imaging: An analysis of innovative technique and its future promise

P Asha, P Srivani, AAA Ahmed, A Kolhe… - Materials Today …, 2022 - Elsevier
Artificial Intelligence has captivated the medical industry as this innovative strategic analytic
has become accurate and widely applicable to various tasks in the healthcare industry. It is …

Survey of machine learning algorithms for breast cancer detection using mammogram images

G Meenalochini, S Ramkumar - Materials Today: Proceedings, 2021 - Elsevier
Breast cancer is the primary cause of death in most cancer affected women. Mammography
is one of the most dependable strategies for early detection and diagnosis of breast cancer …

Impact of artificial intelligence on civilization: Future perspectives

P Rajendra, M Kumari, S Rani, N Dogra… - Materials Today …, 2022 - Elsevier
Artificial intelligence is a scientific term that refers to artifacts, detect situations and respond
to those circumstances with actions. The ability to create such improved artifacts has more …

Study of fuzzy expert system for the diagnosis of various types of cancer

R Boadh, R Grover, M Dahiya, A Kumar… - Materials Today …, 2022 - Elsevier
Early exposure of critical diseases is the main necessity for the patients and a difficult errand
for the oncologist. In the event that it is distinguished early, it makes the patient bound to live …

Intelligent predictions of Covid disease based on lung CT images using machine learning strategy

B Prabha, S Kaur, J Singh, P Nandankar… - Materials Today …, 2023 - Elsevier
Abstract Covid or Corona Virus, a term ruling the world from past two years and causes a
huge destruction in all countries. One of the most important Covid disease identification …

Implementation of machine learning techniques for disease diagnosis

S Mall, A Srivastava, BD Mazumdar, M Mishra… - Materials Today …, 2022 - Elsevier
Recently, data mining and machine learning techniques have found widespread use in the
field of healthcare. The objective of this study is to develop an automated method for …

Nanotechnology as a tool for treating cancerous tumors

AS Bale, JA Khatokar, MSK Mohan, G Bharath… - Materials Today …, 2021 - Elsevier
This paper overviews the application of Nano systems in the diagnosis of cancer. The
biophysics and the biochemical reactions in the process of detecting the cancer is discussed …