Skin Cancer Risks Estimation Using VGG19 Framework

S Banerjee, A Pathak, S Mishra, S Vyas… - … Conference on Data …, 2023 - Springer
The type of cancer which is most commonly found throughout the world is skin cancer.
Before the cancer gets too serious, a premature detection of skin cancer is crucial for …

Estimation of Skin Cancer with Integrated Extended Convolutional and Recurrent Neural Network Techniques on Image Dataset

CL Chen, A Srinivasulu, CV Ravikumar… - Journal of Research …, 2023 - hspublishing.org
Skin cancer is the most common and possibly fatal type of cancer that necessitates early
detection through the deep-learning method. Machine learning approaches such as random …

Skin Cancer Detection and Intensity Calculator using Deep Learning

A Mankawade, A Bodhankar, A Mahajan… - … for Advancement in …, 2023 - ieeexplore.ieee.org
With time, a lot of genetic and metabolic abnormalities are now known to cause cancer,
which is typically fatal. Any body part may become infected by cancerous cells, which can be …

Skin Cancer Detection Using Convolution Neural Network

D Mitra, D Patel, M Bhavsar, T Sule… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Skin cancer is a prevalent medical condition, with approximately 2 million people diagnosed
annually. Shockingly, one person dies of skin cancer every hour, making it a crucial public …

Convolutional neural network based skin cancer detection (Malignant vs Benign)

M Hossain, K Sadik, MM Rahman… - 2021 IEEE 12th …, 2021 - ieeexplore.ieee.org
Skin cancer is very dangerous and deadly diseases in today's world. Between Malignant
and Benign skin cancers, Malignant is the deadliest and Benign is curable. Due to the …

The impact of learning rate and data size on CNN for skin cancer detection

J Pan - Second International Conference on Medical Imaging …, 2022 - spiedigitallibrary.org
Skin cancer is one of the diseases which affect large population in the world. Artificial
Intelligence (AI) has been introduced in skin cancer diagnosis in decades. The convolutional …

Identification of Risk of Occurring Skin Cancer (Melanoma) Using Convolutional Neural Network (CNN)

M Shawon, KF Abedin, A Majumder… - AIUB Journal of …, 2021 - ajse.aiub.edu
Skin cancer is one of the most common malignancy in human, has drawn attention from
researchers around the world. As skin cancer can turn into fatal if not treated in its earliest …

Prediction of Skin Cancer using Convolutional Neural Network

S Sadhana, MC Lavanya, SA Patil… - 2022 International …, 2022 - ieeexplore.ieee.org
Skin damage is one of the most fatal illnesses. Unassisted dissection and management at
the beginning will result in it contacting other areas of the body. Due to the rapid progression …

Artificial Intelligence Framework for Skin Cancer Detection

K Mohana Lakshmi, S Rikhari - … of Fifth International Conference on Smart …, 2022 - Springer
Skin cancer is a disease which has become the matter of concern and is responsible for
millions of deaths of human beings. The objective of this work to identify new harmful skin …

Skin cancer classification using Convolutional neural networks

RR Subramanian, D Achuth, PS Kumar… - … on Cloud Computing …, 2021 - ieeexplore.ieee.org
There is a necessary need for early detection of skin cancer and can prevent further spread
in some cases of skin cancers, such as melanoma and focal cell carcinoma. Anyhow there …