A comparative analysis of deep learning algorithms for skin cancer detection
P Singh, M Kumar, A Bhatia - 2022 6th international conference …, 2022 - ieeexplore.ieee.org
In the current world, machine learning and computing techniques are being used in every
industry. One of these involves the healthcare and medical industry. Already due to intensive …
industry. One of these involves the healthcare and medical industry. Already due to intensive …
Skin cancer detection based on deep learning methods
S Shaaban, H Atya, H Mohammed, A Sameh… - … Conference on Artificial …, 2023 - Springer
One of the most common and dangerous types of tumors/cancer is skin cancer. It is an
abnormal growth of the skin. Skin cancer that is not detected early spreads to other organs …
abnormal growth of the skin. Skin cancer that is not detected early spreads to other organs …
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 …
and Benign skin cancers, Malignant is the deadliest and Benign is curable. Due to the …
Comparative study and analysis on skin cancer detection using machine learning and deep learning algorithms
Exposure to UV rays due to global warming can lead to sunburn and skin damage,
ultimately resulting in skin cancer. Early prediction of this type of cancer is crucial. A detailed …
ultimately resulting in skin cancer. Early prediction of this type of cancer is crucial. A detailed …
Skin cancer detection and classification based on deep learning
Melanoma (MEL) is a form of malignant cancer of the skin that is harmful to health.
Appropriate analysis of MEL at initial phase is critical for the achievement percentage of …
Appropriate analysis of MEL at initial phase is critical for the achievement percentage of …
Proposition of convolutional neural network based system for skin cancer detection
EC Adjobo, ATS Mahama, P Gouton… - 2019 15th International …, 2019 - ieeexplore.ieee.org
Skin cancer automated diagnosis tools play a vital role in timely screening, helping
dermatologists focus on melanoma cases. Best arts on automated melanoma screening use …
dermatologists focus on melanoma cases. Best arts on automated melanoma screening use …
Skin cancer detection using convolutional neural network
DC Malo, MM Rahman, J Mahbub… - 2022 IEEE 12th Annual …, 2022 - ieeexplore.ieee.org
The advancement of artificial intelligence is reshaping various sectors of our lives including
disease identification. Today, dermatologists depend greatly on digitalized output of patients' …
disease identification. Today, dermatologists depend greatly on digitalized output of patients' …
[PDF][PDF] Deep learning can improve early skin cancer detection
Skin cancer is the most common form of cancer affecting humans. Melanoma is the most
dangerous type of skin cancer; and early diagnosis is extremely vital in curing the disease …
dangerous type of skin cancer; and early diagnosis is extremely vital in curing the disease …
A technical review report on deep learning approach for skin cancer detection and segmentation
K Duggani, MK Nath - Data Analytics and Management: Proceedings of …, 2021 - Springer
Skin cancer is growth of abnormal cells, mainly caused due to exposure of ultraviolet rays
from sun. There are various types of skin cancer, among them melanoma is the most …
from sun. There are various types of skin cancer, among them melanoma is the most …
Detection of skin cancer using deep neural networks
MMI Rahi, FT Khan, MT Mahtab… - 2019 IEEE Asia …, 2019 - ieeexplore.ieee.org
Skin cancer is a huge issue which gets neglected very often. Sometimes the human eye is
unable to precisely detect diseases from imaging data, in cases of doctor's manual …
unable to precisely detect diseases from imaging data, in cases of doctor's manual …