A convolutional neural network framework for accurate skin cancer detection

K Thurnhofer-Hemsi, E Domínguez - Neural Processing Letters, 2021 - Springer
Skin diseases have become a challenge in medical diagnosis due to visual similarities.
Although melanoma is the best-known type of skin cancer, there are other pathologies that …

Skin lesion classification by ensembles of deep convolutional networks and regularly spaced shifting

K Thurnhofer-Hemsi, E López-Rubio… - IEEE …, 2021 - ieeexplore.ieee.org
Skin lesions are caused due to multiple factors, like allergies, infections, exposition to the
sun, etc. These skin diseases have become a challenge in medical diagnosis due to visual …

Role of data mining and machine learning techniques in medical imaging

A Agnihotri, V Yadav… - International Journal of …, 2020 - inderscienceonline.com
Medical images are ubiquitous images among all images around us. Due to the expansion
in the use of medical images and growing resolution and size of medical images, medical …

[PDF][PDF] Machine learning techniques for detecting and predicting breast cancer

R Shukla, V Yadav, PR Pal… - International Journal of …, 2019 - researchgate.net
Breast cancer is a syndrome that causes hues numbers of casualty every year due to
ineffectiveness of proper filtering and appropriate classification methods. Breast Cancer is …

Presenting a three layer stacking ensemble classifier of deep learning and machine learning for skin cancer classification

BJ Tabaghsar, R Tavoli, MMA Toosi - Multimedia Tools and Applications, 2024 - Springer
One of the most common types of cancer in the world is skin cancer. Despite the different
types of skin diseases with different shapes, the classification of skin diseases is a very …

A study on automatic early detection of skin cancer

V Yadav, VD Kaushik - International Journal of Advanced …, 2019 - inderscienceonline.com
Skin cancer is one of the most deadly types of skin cancer among all existing types of
cancer. The growth rate of this type of cancer is very high so only early detection of skin …

Analyzing digital image by deep learning for melanoma diagnosis

K Thurnhofer-Hemsi, E Domínguez - … 2019, Gran Canaria, Spain, June 12 …, 2019 - Springer
Image classification is an important task in many medical applications, in order to achieve an
adequate diagnostic of different lesions. Melanoma is a frequent kind of skin cancer, which …

A Systematic Review on Detection and Classification of Melanoma

S Jayasankar, T Brindha - 2023 IEEE International Conference …, 2023 - ieeexplore.ieee.org
The human skin serves as the exterior protective layer of body, shielding the interior organs
beneath from damaging UV rays, dust, and pollution. Cancer is one of the main causes of …

An erythemato squamous disease (esd) detection using dbn technique

S Gopalakrishnan, AB Ebenezer… - … and Internet of …, 2022 - ieeexplore.ieee.org
ESD is a serious type of skin disease that increases over the past decades in the world and
as a sequel to curing strategy in the medical field, automatic detection of ESDs using …

Automatic detection and classification of invasive ductal carcinoma in histopathology images using convolutional neural networks

R Karthiga, K Narasimhan, N Raju - Artificial Intelligence in …, 2022 - iopscience.iop.org
In this chapter, a practical solution for the classification of invasive cancer is proposed, which
is a supervised approach that uses a convolutional neural network (CNN). An opensource …