BCNet: A deep learning computer-aided diagnosis framework for human peripheral blood cell identification

C Chola, AY Muaad, MB Bin Heyat, JVB Benifa… - Diagnostics, 2022 - mdpi.com
Blood cells carry important information that can be used to represent a person's current state
of health. The identification of different types of blood cells in a timely and precise manner is …

Recent advancement of machine learning and deep learning in the field of healthcare system

Y Kumar, M Mahajan - Computational intelligence for machine …, 2020 - degruyter.com
The healthcare sector has long been adapted primarily and significantly from scientific
advances. Nowadays, machine learning (ML, a subset of artificial intelligence) plays a vital …

[HTML][HTML] Application of artificial intelligence in modern medicine

N Xu, D Yang, K Arikawa, C Bai - Clinical eHealth, 2023 - Elsevier
Over the last decade, artificial intelligence in medicine has attracted much attention and
interest for its robust automation and efficiency in disease diagnosis, treatment and …

Artificial intelligence applications in dermatology: where do we stand?

A Gomolin, E Netchiporouk, R Gniadecki… - Frontiers in …, 2020 - frontiersin.org
Artificial intelligence (AI) has become a progressively prevalent Research Topic in medicine
and is increasingly being applied to dermatology. There is a need to understand this …

[HTML][HTML] An improved deep convolutionary neural network for bone marrow cancer detection using image processing

MD Ramasamy, RK Dhanaraj, SK Pani, RP Das… - Informatics in Medicine …, 2023 - Elsevier
Abstract Bone Marrow Cancer is a type of cancer that develops in the stem cells of the bone
marrow that are responsible for blood formation. AML (Acute Myeloid Leukaemia) and MM …

Medical Image Analysis of Multiple Myeloma Diagnosis Using CNN and KNN Based Approach

M Sakthivel, MSI Sudman… - … Conference on Self …, 2023 - ieeexplore.ieee.org
Leukocytes, which are produced in the bone marrow, account for about 1% of all blood cells.
When the production of these neutrophils becomes unchecked, cancer of the blood occurs …

A systematic review on deep learning‐based automated cancer diagnosis models

R Tandon, S Agrawal, NPS Rathore… - Journal of Cellular …, 2024 - Wiley Online Library
Deep learning is gaining importance due to its wide range of applications. Many researchers
have utilized deep learning (DL) models for the automated diagnosis of cancer patients. This …

[HTML][HTML] Artificial Intelligence–Based Consumer Health Informatics Application: Scoping Review

O Asan, E Choi, X Wang - Journal of Medical Internet Research, 2023 - jmir.org
Background There is no doubt that the recent surge in artificial intelligence (AI) research will
change the trajectory of next-generation health care, making it more approachable and …

Current issues regarding artificial intelligence in cancer and health care. Implications for medical physicists and biomedical engineers

LG Marcu, C Boyd, E Bezak - Health and Technology, 2019 - Springer
Abstract The development of Artificial Intelligence (AI) in healthcare has been a long road
with many significant obstacles that at the same time present opportunities for biomedical …

Artificial intelligence in health: new opportunities, challenges, and practical implications

AYS Lau, P Staccini - Yearbook of medical informatics, 2019 - thieme-connect.com
Objectives: To summarise the state of the art during the year 2018 in consumer health
informatics and education, with a special emphasis on the special topic of the International …