[HTML][HTML] An enhanced technique of skin cancer classification using deep convolutional neural network with transfer learning models

MS Ali, MS Miah, J Haque, MM Rahman… - Machine Learning with …, 2021 - Elsevier
Skin cancer is one of the top three perilous types of cancer caused by damaged DNA that
can cause death. This damaged DNA begins cells to grow uncontrollably and nowadays it is …

[HTML][HTML] State-of-the-art challenges and perspectives in multi-organ cancer diagnosis via deep learning-based methods

S Ali, J Li, Y Pei, R Khurram, K Rehman, AB Rasool - Cancers, 2021 - mdpi.com
Simple Summary Cancer is a deadly disease that needs to be diagnose at early stage to
increase patient survival rate. Multi-organ (such as breast, brain, lung, and skin) cancer …

[HTML][HTML] Skin cancer diagnosis using convolutional neural networks for smartphone images: A comparative study

S Medhat, H Abdel-Galil, AE Aboutabl… - Journal of Radiation …, 2022 - Elsevier
In the past few years many researches investigated algorithms to diagnose skin cancer
lesions where melanoma is the deadliest type of skin cancer. In this paper, we propose three …

[HTML][HTML] Multi-scale GC-T2: Automated region of interest assisted skin cancer detection using multi-scale graph convolution and tri-movement based attention …

A Alqarafi, AA Khan, RK Mahendran… - … Signal Processing and …, 2024 - Elsevier
Melanoma skin cancer, an aggressive neoplasm arising from the malignant proliferation of
melanocytes, represents a formidable challenge in the field of oncology due to its high …

[HTML][HTML] An aseptic approach towards skin lesion localization and grading using deep learning and harris hawks optimization

HM Balaha, AES Hassan, EM El-Gendy… - Multimedia Tools and …, 2024 - Springer
Skin cancer is the most common form of cancer. It is predicted that the total number of cases
of cancer will double in the next fifty years. It is an expensive procedure to discover skin …

A tribological study of shot peening process on stainless steel

SS Babu, R Padmavathy, N Anburaj… - Materials Today …, 2023 - Elsevier
The goal of this study is to figure out how to use the microstructure, friction, and wear
parameters of a shot-peened stainless steel 316L surface to study tribology. Tribology is the …

Micro universal testing machine system for material property measurement

G Saritha, T Iswarya, D Keerthana, ATD Baig - Materials Today …, 2023 - Elsevier
Universal testing machines can be used to evaluate the mechanical characteristics of raw
materials and components by assessing and evaluating their performance in a variety of test …

Skin lesions classification using deep learning techniques

OS Kareem, AM Abdulazee… - Asian Journal of …, 2021 - archive.sdpublishers.com
Skin cancer is a significant health problem. More than 123,000 new cases per year are
recorded. Melanoma is the most popular type of skin cancer, leading to more than 9000 …

Experimental investigation on melting/freezing characteristics of nanocomposite PCMs

R Padmavathy, T Saravanan, SAM Kasim… - Materials Today …, 2023 - Elsevier
This study describes the results of an experimental investigation into the solidification and
melting characteristics of a recently developed Nano Composite PCM composed of oleic …

New pyramidal hybrid textural and deep features based automatic skin cancer classification model: Ensemble DarkNet and textural feature extractor

M Baygin, T Tuncer, S Dogan - arXiv preprint arXiv:2203.15090, 2022 - arxiv.org
Background: Skin cancer is one of the widely seen cancer worldwide and automatic
classification of skin cancer can be benefited dermatology clinics for an accurate diagnosis …