Computational image analysis techniques, programming languages and software platforms used in cancer research: A scoping review

Y Arafat, CC Reyes-Aldasoro - Annual Conference on Medical Image …, 2022 - Springer
Background: Cancer-related research, as indicated by the number of entries in Medline, the
National Library of Medicine of the USA, has dominated the medical literature. An important …

Role of Medical Image Analysis in Oncology

K Gaganpreet, G Hardik, K Heena… - … Data Mining for …, 2021 - Wiley Online Library
Cancer is a disease caused by uncontrolled division of cells other than normal body cells in
any part of the body. It is one of the most dreadful disease affecting the whole world, which …

The use of deep learning in image analysis for the study of oncology

B Janeczko, G Srivastava - Internet of Multimedia Things (IoMT), 2022 - Elsevier
Deep learning and the field of artificial intelligence have been buzzwords for years with their
popularity continually growing. Deep learning is an area of machine learning that was …

Cancer Detection Based on Medical Image Analysis with the Help of Machine Learning and Deep Learning Techniques: A Systematic Literature Review

T Sood, R Bhatia, P Khandnor - Current Medical Imaging, 2023 - ingentaconnect.com
Background: Cancer is a deadly disease. It is crucial to diagnose cancer in its early stages.
This can be done with medical imaging. Medical imaging helps us scan and view internal …

[PDF][PDF] Cancer Detection Using Deep Learning

K Tawheed, K Salman, A Farooqui… - Int. Res. J. Eng …, 2021 - academia.edu
In this paper, we first describe the basics of the field of cancer diagnosis, which includes
steps of cancer diagnosis followed by the typical classification methods used by doctors …

[PDF][PDF] Deep Learning for Histopathological Image Analysis: A Convolutional Neural Network Approach to Colon Cancer Classification

S Agustiani, Y Rianto - Telematika, 2024 - scholar.archive.org
Colon cancer is a type of cancer that attacks the last part of the human digestive tract.
Factors such as an unhealthy diet, low fiber consumption, and high animal protein and fat …

An extensive analysis of artificial intelligence and segmentation methods transforming cancer recognition in medical imaging

K Ramalakshmi, V Srinivasa Raghavan… - Biomedical Physics …, 2024 - iopscience.iop.org
Recent advancements in computational intelligence, deep learning, and computer-aided
detection have had a significant impact on the field of medical imaging. The task of image …

Artificial intelligence technology in cancer imaging: Clinical challenges for detection of lung and breast cancer

M Coccia - Journal of Social and Administrative Sciences, 2019 - papers.ssrn.com
In the domain of Artificial Intelligence, deep learning is part of a broader family of machine
learning methods based on deep neural networks, deep belief networks, recurrent neural …

A comprehensive survey on convolutional neural network in medical image analysis

X Yao, X Wang, SH Wang, YD Zhang - Multimedia Tools and Applications, 2022 - Springer
CNN is inspired from Primary Visual (V1) neurons. It is a typical deep learning technique
and can help teach machine how to see and identify objects. In the most recent decade …

[HTML][HTML] Cancer diagnosis using deep learning: a bibliographic review

K Munir, H Elahi, A Ayub, F Frezza, A Rizzi - Cancers, 2019 - mdpi.com
In this paper, we first describe the basics of the field of cancer diagnosis, which includes
steps of cancer diagnosis followed by the typical classification methods used by doctors …