Fuzzy logic with deep learning for detection of skin cancer
SK Singh, V Abolghasemi, MH Anisi - Applied Sciences, 2023 - mdpi.com
Featured Application Deep learning-based diagnosis of a suspicious lesion using a simple
handheld device such as smartphone. Awareness and frequency of diagnosis of malignant …
handheld device such as smartphone. Awareness and frequency of diagnosis of malignant …
Skin cancer diagnosis with YOLO deep neural network
N Aishwarya, KM Prabhakaran, FT Debebe… - Procedia Computer …, 2023 - Elsevier
Skin cancer is an uncontrolled growth of abnormal cells in the human body. It is usually
caused by the sun's harmful rays. Studies indicate that there is much research going on to …
caused by the sun's harmful rays. Studies indicate that there is much research going on to …
Melanoma diagnosis using deep learning and fuzzy logic
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 …
cells, damaged by excessive exposure to harmful UV radiations, start to grow out of control …
Decision support system for detection and classification of skin cancer using CNN
R Garg, S Maheshwari, A Shukla - Innovations in computational …, 2021 - Springer
Skin cancer is one of the most deathful of all the cancers. It is bound to spread to different
parts of the body on the off chance that it is not analyzed and treated at the beginning time. It …
parts of the body on the off chance that it is not analyzed and treated at the beginning time. It …
Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering
Objective Melanoma is a dangerous form of the skin cancer responsible for thousands of
deaths every year. Early detection of melanoma is possible through visual inspection of …
deaths every year. Early detection of melanoma is possible through visual inspection of …
Deep learning approaches towards skin lesion segmentation and classification from dermoscopic images-a review
Background: Automated intelligent systems for unbiased diagnosis are primary requirement
for the pigment lesion analysis. It has gained the attention of researchers in the last few …
for the pigment lesion analysis. It has gained the attention of researchers in the last few …
Skin cancer detection using ensemble of machine learning and deep learning techniques
Skin cancer is one of the most common forms of cancer, which makes it pertinent to be able
to diagnose it accurately. In particular, melanoma is a form of skin cancer that is fatal and …
to diagnose it accurately. In particular, melanoma is a form of skin cancer that is fatal and …
A de-ann inspired skin cancer detection approach using fuzzy c-means clustering
As per recent developments in medical science, the skin cancer is considered as one of the
common type disease in human body. Although the presence of melanoma is viewed as a …
common type disease in human body. Although the presence of melanoma is viewed as a …
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 …
Melanoma is the rarest and most dangerous type of skin cancer. It causes the most deaths …
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 …