Vision transformer based deep learning model for monkeypox detection

D Kundu, UR Siddiqi… - 2022 25th International …, 2022 - ieeexplore.ieee.org
Images of skin lesions may be used to detect this virus, which is a reliable method for
identifying the pox virus group. However, early identification and prediction are difficult due …

Analysis, Prediction and Classification of Skin Cancer using Artificial Intelligence-A Brief Study and Review

ML Pandala, S Periyanayagi - Scalable Computing: Practice and …, 2023 - scpe.org
Abstract World Health Organization (WHO) records that skin cancer has vigorously affected
people in recent decades. Worldwide, many people are affected by skin cancer, and its …

A novel skin cancer detection model using modified finch deep CNN classifier model

A Kumar, M Kumar, VP Bhardwaj, S Kumar… - Scientific Reports, 2024 - nature.com
Skin cancer is one of the most life-threatening diseases caused by the abnormal growth of
the skin cells, when exposed to ultraviolet radiation. Early detection seems to be more …

[PDF][PDF] A comprehensive review on skin cancer detection strategies using deep neural networks

AS Reddy, MP Gopinath - J. Comput. Sci, 2022 - researchgate.net
Skin cancer is a deadly malignancy. Incomplete DNA repair in skin cells causes hereditary
mutations and cancer. Early skin cancer is easier to treat since it spreads slowly to other …

Melanoma skin cancer and nevus mole classification using intensity value estimation with convolutional neural network

NI Ashafuddula, R Islam - arXiv preprint arXiv:2209.15465, 2022 - arxiv.org
Melanoma skin cancer is one of the most dangerous and life-threatening cancer. Exposure
to ultraviolet rays may damage the skin cell's DNA, which causes melanoma skin cancer …

IVE-MDNet: Intensity Value Estimation Model Combined with a Transfer Learning Approach for Melanoma Skin Cancer Diagnosis

NIM Ashafuddula, R Islam - SN Computer Science, 2024 - Springer
The percentage of people affected by skin cancer has been rising in recent years.
Melanoma is identified as the most dangerous and life-threatening among the three types of …

Enhanced Skin Cancer Classification Through a Hybrid Optimized Approach: Deep Echo Network Machine Utilizing Pelican-Optimized Deep Kohonen Features

MK Doma, SK Sahu, G Raju - Traitement du Signal, 2023 - search.proquest.com
The global rise of skin cancer, accredited primarily to abnormal radiation-induced cellular
growth, has resulted in millions of fatalities. Early detection and accurate diagnosis can …

A combined approach of VGG 16 and LSTM transfer learning technique for skin melanoma classification

KP Arjun, KS Kumar - International Journal of Health Sciences, 2022 - neliti.com
To distinguish melanoma from other skin illnesses, doctors examine pigmented lesions on
the skin. Damaged DNA causes cells to expand uncontrollably, and the rate of growth is …

Detection of Skin Cancer Types in Dermoscopy Images with Gradient Boosting

L Dewangan, K Gupta, VK Swarnkar… - … for Innovations in …, 2023 - ieeexplore.ieee.org
This study develops a computer-based system for classifying using gradient booster
algorithms that addresses the urgent demand for precise and prompt skin cancer diagnosis …

Segmentation based early Melanoma Detection Using Random Forest Algorithm

M Abate, J Hussein, VK Varadarajan, S Zemene - 2023 - researchsquare.com
This article proposes a method to detect melanoma at the early stage before it becomes
something severe. The lesion of melanoma has five stages, stage zero to stage four, of …