Skin cancer detection using deep learning—a review

M Naqvi, SQ Gilani, T Syed, O Marques, HC Kim - Diagnostics, 2023 - mdpi.com
Skin cancer is one the most dangerous types of cancer and is one of the primary causes of
death worldwide. The number of deaths can be reduced if skin cancer is diagnosed early …

A review on recent developments in cancer detection using machine learning and deep learning models

S Maurya, S Tiwari, MC Mothukuri, CM Tangeda… - … Signal Processing and …, 2023 - Elsevier
Cancer is a fatal illness frequently caused by a variety of obsessive changes and genetic
disorders. Cancer cells knowing as abnormal cells can grow in any part of the human body …

An interpretable skin cancer classification using optimized convolutional neural network for a smart healthcare system

K Mridha, MM Uddin, J Shin, S Khadka… - IEEE Access, 2023 - ieeexplore.ieee.org
Skin cancer is a prevalent form of malignancy globally, and its early and accurate diagnosis
is critical for patient survival. Clinical evaluation of skin lesions is essential, but it faces …

The role of machine learning and deep learning approaches for the detection of skin cancer

T Mazhar, I Haq, A Ditta, SAH Mohsan, F Rehman… - Healthcare, 2023 - mdpi.com
Machine learning (ML) can enhance a dermatologist's work, from diagnosis to customized
care. The development of ML algorithms in dermatology has been supported lately …

[HTML][HTML] Traffic management: Multi-scale vehicle detection in varying weather conditions using yolov4 and spatial pyramid pooling network

M Humayun, F Ashfaq, NZ Jhanjhi, MK Alsadun - Electronics, 2022 - mdpi.com
Detecting and counting on road vehicles is a key task in intelligent transport management
and surveillance systems. The applicability lies both in urban and highway traffic monitoring …

A precise model for skin cancer diagnosis using hybrid U-Net and improved MobileNet-V3 with hyperparameters optimization

U Kumar Lilhore, S Simaiya, YK Sharma, KS Kaswan… - Scientific reports, 2024 - nature.com
Skin cancer is a frequently occurring and possibly deadly disease that necessitates prompt
and precise diagnosis in order to ensure efficacious treatment. This paper introduces an …

Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer …

O Attallah - Computers in Biology and Medicine, 2024 - Elsevier
Skin cancer (SC) significantly impacts many individuals' health all over the globe. Hence, it
is imperative to promptly identify and diagnose such conditions at their earliest stages using …

[PDF][PDF] Cybercrime Unmasked: Investigating cases and digital evidence

H Azam, MI Dulloo, MH Majeed… - … Science & Artificial …, 2023 - pdfs.semanticscholar.org
The advent of rapid digital technology has opened doors to a new domain for criminal
activities, commonly termed as computer crimes. Stringent penalties have been instituted by …

Surface electromyography and artificial intelligence for human activity recognition—a systematic review on methods, emerging trends applications, challenges, and …

GJ Rani, MF Hashmi, A Gupta - IEEE access, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) has become increasingly popular in recent years due to its
potential to meet the growing needs of various industries. Electromyography (EMG) is …

[HTML][HTML] A novel hybrid Extreme Learning Machine and Teaching–Learning-Based​ Optimization algorithm for skin cancer detection

N Priyadharshini, N Selvanathan, B Hemalatha… - Healthcare …, 2023 - Elsevier
Skin cancers, such as melanoma, can be difficult to spot in their early stages because they
often resemble benign moles. Early detection of melanoma is crucial as it increases the …