Melanoma diagnosis using deep learning and fuzzy logic

S Banerjee, SK Singh, A Chakraborty, A Das, R Bag - Diagnostics, 2020 - mdpi.com
Melanoma or malignant melanoma is a type of skin cancer that develops when melanocyte
cells, damaged by excessive exposure to harmful UV radiations, start to grow out of control …

Improving detection of Melanoma and Naevus with deep neural networks

A Maiti, B Chatterjee - Multimedia Tools and Applications, 2020 - Springer
Abstract Machines can acknowledge the images of skin lesion as well as the disease
compared to an experienced dermatologist. These might be executed by giving a proper …

MelaNet: an effective deep learning framework for melanoma detection using dermoscopic images

S Lafraxo, ME Ansari, S Charfi - Multimedia Tools and Applications, 2022 - Springer
Skin cancer is considered one of the most dangerous and popular sorts of cancer. The
deadliest form of this type of cancer is called melanoma, it happens while pigmented cells …

Recent deep learning methods for melanoma detection: a review

NN Sultana, NB Puhan - … Conference, ICMC 2018, Varanasi, India, January …, 2018 - Springer
Melanoma is a type of skin cancer, which is not that common like basal cell and squamous
carcinoma, but it has dangerous implications since it has the tendency to migrate to other …

[PDF][PDF] Deep Learning and Machine Learning to Diagnose Melanoma

P Kaushik - International Journal of Research in Science and …, 2023 - researchgate.net
The most dangerous disorders include melanoma. Yet, a precise diagnosis of skin cancer is
difficult. Recent research has shown that a variety of activities can be performed better using …

Detection and classification of melanoma skin cancer using image processing technique

CK Viknesh, PN Kumar, R Seetharaman, D Anitha - Diagnostics, 2023 - mdpi.com
Human skin cancer is the most common and potentially life-threatening form of cancer.
Melanoma skin cancer, in particular, exhibits a high mortality rate. Early detection is crucial …

Melanoma diagnosis using deep learning techniques on dermatoscopic images

MF Jojoa Acosta, LY Caballero Tovar… - BMC Medical …, 2021 - Springer
Background Melanoma has become more widespread over the past 30 years and early
detection is a major factor in reducing mortality rates associated with this type of skin cancer …

Melanoma skin cancer classification based on CNN deep learning algorithms

SR Waheed, SM Saadi, MSM Rahim… - Malaysian Journal of …, 2023 - mjfas.utm.my
Melanoma, the deadliest form of skin cancer, is on the rise. The goal of this study is to
present a deep learning system implementation for the detection of melanoma lesions on a …

[PDF][PDF] Using deep learning to detect melanoma in dermoscopy images

JAA Salido, C Ruiz - Int. J. Mach. Learn. Comput, 2018 - ijml.org
 Abstract—Melanoma is a common type of cancer that affects a significant number of
people. Recently, deep learning techniques have been shown to be highly accurate in …

Melanoma detection from dermoscopy images with deep learning methods: A comprehensive study

O Yildiz - Journal of the Faculty of Engineering and Architecture …, 2019 - avesis.gazi.edu.tr
Skin cancer is common and a serious disease, which can lead to death if not treated in time.
Melanoma is the rarest and most dangerous type of skin cancer. It causes the most deaths …