Role of artificial intelligence in radiogenomics for cancers in the era of precision medicine

S Saxena, B Jena, N Gupta, S Das, D Sarmah… - Cancers, 2022 - mdpi.com
Simple Summary Recently, radiogenomics has played a significant role and offered a new
understanding of cancer's biology and behavior in response to standard therapy. It also …

[HTML][HTML] An overview of deep learning in medical imaging

A Anaya-Isaza, L Mera-Jiménez… - Informatics in medicine …, 2021 - Elsevier
Deep learning (DL) is one of the branches of artificial intelligence that has seen exponential
growth in recent years. The scientific community has focused its attention on DL due to its …

Detection of skin cancer based on skin lesion images using deep learning

W Gouda, NU Sama, G Al-Waakid, M Humayun… - Healthcare, 2022 - mdpi.com
An increasing number of genetic and metabolic anomalies have been determined to lead to
cancer, generally fatal. Cancerous cells may spread to any body part, where they can be life …

Advances and development of prostate cancer, treatment, and strategies: A systemic review

S Belkahla, I Nahvi, S Biswas, I Nahvi… - Frontiers in Cell and …, 2022 - frontiersin.org
The most common type of cancer in the present-day world affecting modern-day men after
lung cancer is prostate cancer. Prostate cancer remains on the list of top three cancer types …

Machine and deep learning prediction of prostate cancer aggressiveness using multiparametric MRI

E Bertelli, L Mercatelli, C Marzi, E Pachetti… - Frontiers in …, 2022 - frontiersin.org
Prostate cancer (PCa) is the most frequent male malignancy and the assessment of PCa
aggressiveness, for which a biopsy is required, is fundamental for patient management …

A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application

M Mokoatle, V Marivate, D Mapiye, R Bornman… - BMC …, 2023 - Springer
Background Using visual, biological, and electronic health records data as the sole input
source, pretrained convolutional neural networks and conventional machine learning …

Artificial intelligence‐based blockchain solutions for intelligent healthcare: A comprehensive review on privacy preserving techniques

B Gami, M Agrawal, DK Mishra… - Transactions on …, 2023 - Wiley Online Library
While blockchain technology (BT) is considered secure, there are several vulnerabilities that
can breach its security. The study in artificial intelligence (AI) and BT is widely popular due to …

Design of a lab-on-chip for cancer cell detection through impedance and photoelectrochemical response analysis

YP Hsiao, A Mukundan, WC Chen, MT Wu, SC Hsieh… - Biosensors, 2022 - mdpi.com
In this study, a biochip was fabricated using a light-absorbing layer of a silicon solar element
combined with serrated, interdigitated electrodes and used to identify four different types of …

Detecting brain tumors using deep learning convolutional neural network with transfer learning approach

S Anjum, L Hussain, M Ali, MH Alkinani… - … Journal of Imaging …, 2022 - Wiley Online Library
Accurate classification of brain tumor subtypes is important for prognosis and treatment. In
this study, we optimized and applied non‐deep learning methods based on hand‐crafted …

A review on prediction and prognosis of the prostate cancer and gleason grading of prostatic carcinoma using deep transfer learning based approaches

GP Kanna, SJKJ Kumar, P Parthasarathi… - … Methods in Engineering, 2023 - Springer
Prostate cancer is a dangerous type of cancer that kills a lot of men because it is hard to
diagnose. Images taken of people with carcinoma have complex and important parts that are …