Current smartphone-assisted point-of-care cancer detection: Towards supporting personalized cancer monitoring

LTP Le, AHQ Nguyen, HTT Ngo, X Wang… - TrAC Trends in …, 2024 - Elsevier
With the rising incidence of cancer-related mortality, new enabling technologies are
necessary to offer comprehensive molecular profiles of patients in order to assist clinicians …

Skin cancer disease images classification using deep learning solutions

MM Mijwil - Multimedia Tools and Applications, 2021 - Springer
Skin cancer is a type of dangerous disease, and early detection is necessary to increases
the survival rate. In recent years, deep learning models applied to computerized skin cancer …

Skin cancer diagnosis using the deep learning advancements: a technical review

S Pandey, GK Shankhdhar - Bulletin of Electrical Engineering and …, 2024 - beei.org
It is vital in today's technologically advanced society to combat skin cancer using machines
rather than human intervention. Any time the look of the skin changes abnormally, there is a …

Targeted ensemble machine classification approach for supporting IoT enabled skin disease detection

HQ Yu, S Reiff-Marganiec - IEEE Access, 2021 - ieeexplore.ieee.org
The fast development of the Internet of Things (IoT) changes our life in many areas,
especially in the health domain. For example, remote disease diagnosis can be achieved …

An empirical study of deep learning frameworks for melanoma cancer detection using transfer learning and data augmentation

D Gangwani, Q Liang, S Wang… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Melanoma is a type of skin cancer that usually develops rapidly and can spread to other
parts of the body, causing death or complication of treatment to a large population. Early …

Deep learning for melanoma detection with testing time data augmentation

V Doms, Y Gordienko, Y Kochura, O Rokovyi… - Advances in Artificial …, 2021 - Springer
Recently, the numerous deep learning (DL) approaches were successfully applied for
analysis of the melanoma that is one of the most dangerous skin cancer types. This work is …

Early Detection and Classification of Melanoma Based on Android MobileNet V2 Convolutional Neural Network

JID Prabandari, CA Sari… - … on Application for …, 2023 - ieeexplore.ieee.org
Melanoma is a malignant form of cancer that affects the skin and has a particularly high
mortality rate, so it requires early detection to increase the level of safety for users. Diagnosis …

Modern AI/ML methods for healthcare: opportunities and challenges

A Garg, VV Venkataramani, A Karthikeyan… - … Computing and Internet …, 2022 - Springer
Artificial Intelligence has seen a significant resurgence in the past decade in wide ranging
technology and domain areas. Recent progress in digitisation and high influx of biomedical …

Artificial intelligence platform for distant computer-aided detection (cade) and computer-aided diagnosis (cadx) of human diseases

O Alienin, O Rokovyi, Y Gordienko, Y Kochura… - … Conference on Artificial …, 2022 - Springer
Application of modern “smart” tools based on artificial intelligence (AI) can be extremely
useful in in the process of analysis of large volumes of medical data, which include 1 …

Analysis and classification of skin cancer images using convolutional neural network approach

K Zaman, JI Bangash, SS Maghdid… - 2020 4th …, 2020 - ieeexplore.ieee.org
In this modern era skin cancer is a serious problem around the globe and so it is the age of
technology and it is important to solve this problem through intelligence machines which …