Skin lesion analysis and cancer detection based on machine/deep learning techniques: A comprehensive survey

M Zafar, MI Sharif, MI Sharif, S Kadry, SAC Bukhari… - Life, 2023 - mdpi.com
The skin is the human body's largest organ and its cancer is considered among the most
dangerous kinds of cancer. Various pathological variations in the human body can cause …

An effective skin cancer classification mechanism via medical vision transformer

S Aladhadh, M Alsanea, M Aloraini, T Khan, S Habib… - Sensors, 2022 - mdpi.com
Skin Cancer (SC) is considered the deadliest disease in the world, killing thousands of
people every year. Early SC detection can increase the survival rate for patients up to 70 …

An improved strategy for skin lesion detection and classification using uniform segmentation and feature selection based approach

M Nasir, M Attique Khan, M Sharif… - Microscopy research …, 2018 - Wiley Online Library
Melanoma is the deadliest type of skin cancer with highest mortality rate. However, the
annihilation in early stage implies a high survival rate therefore, it demands early diagnosis …

Skin cancer classification using image processing and machine learning

A Javaid, M Sadiq, F Akram - 2021 international Bhurban …, 2021 - ieeexplore.ieee.org
One of the most rapidly spreading cancers among various other types of cancers known to
humans is skin cancer. Melanoma is the worst and the most dangerous type of skin cancer …

Analysis of skin cancer and patient healthcare using data mining techniques

N Arivazhagan, MA Mukunthan… - Computational …, 2022 - Wiley Online Library
Skin cancer is the uncontrolled growth of irregular cancer cells in the human‐skin's outer
layer. Skin cells commonly grow in an uneven pattern on exposed skin surfaces. The …

Skin lesion segmentation and recognition using multichannel saliency estimation and M-SVM on selected serially fused features

T Akram, MA Khan, M Sharif, M Yasmin - Journal of Ambient Intelligence …, 2024 - Springer
The number of deaths caused by melanoma has increased remarkably in the last few years
which are the carcinogenic type of skin cancer. Lately, computer based methods are …

Squeeze-mnet: Precise skin cancer detection model for low computing IOT devices using transfer learning

RK Shinde, MS Alam, MB Hossain, S Md Imtiaz, JH Kim… - Cancers, 2022 - mdpi.com
Simple Summary Skin cancer is a life-threatening condition. It is difficult to diagnose in its
early stages; therefore, we proposed an easy-to-use telemedicine device to tackle skin …

Skin lesion detection using hand-crafted and DL-based features fusion and LSTM

R Mahum, S Aladhadh - Diagnostics, 2022 - mdpi.com
The abnormal growth of cells in the skin causes two types of tumor: benign and malignant.
Various methods, such as imaging and biopsies, are used by oncologists to assess the …

[Retracted] Automated Detection of Nonmelanoma Skin Cancer Based on Deep Convolutional Neural Network

M Arif, FM Philip, F Ajesh, D Izdrui… - Journal of …, 2022 - Wiley Online Library
One of the deadliest diseases is skin cancer, especially melanoma. The high resemblance
between different skin lesions such as melanoma and nevus in the skin colour images …

Melanoma skin lesions classification using deep convolutional neural network with transfer learning

MK Islam, MS Ali, MM Ali, MF Haque… - … and Data Analytics …, 2021 - ieeexplore.ieee.org
Skin cancer is basically the unnatural growth of skin tissues and it can be fatal. Lately, it has
evolved into one of the most perilous types of other cancers in the human body. Premature …