A comparative study of state-of-the-art skin image segmentation techniques with CNN
Skin cancer is caused by genetic uncertainty or an irregular growth of cells, mostly grows
when our skin is exposed to sun. In people, melanoma is a common type of cancer …
when our skin is exposed to sun. In people, melanoma is a common type of cancer …
From machine learning to deep learning: experimental comparison of machine learning and deep learning for skin cancer image segmentation
R Kaur - Rangahau Aranga: AUT Graduate Review, 2022 - ojs.aut.ac.nz
Skin lesion analysis is a tedious and challenging task, thus, in this research the suitability of
employing machine learning or deep learning approaches for automatic lesion …
employing machine learning or deep learning approaches for automatic lesion …
[PDF][PDF] Skin lesions classification and segmentation: a review
MM Stofa, MA Zulkifley… - International Journal of …, 2021 - pdfs.semanticscholar.org
An automated intelligent system based on imaging input for unbiased diagnosis of skin-
related diseases is an essential screening tool nowadays. This is because visual and …
related diseases is an essential screening tool nowadays. This is because visual and …
ResBCU-Net: Deep learning approach for segmentation of skin images
Large networks on big datasets have put great impact in success of deep neural networks
(DNNs). The greatest breakthrough achieved in this field in 2012 by successful training of a …
(DNNs). The greatest breakthrough achieved in this field in 2012 by successful training of a …
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 …
[PDF][PDF] A convolutional neural network for skin lesion segmentation using double u-net architecture
Skin lesion segmentation plays a critical role in the precise and early detection of skin
cancer via recent frameworks. The prerequisite for any computer-aided skin cancer …
cancer via recent frameworks. The prerequisite for any computer-aided skin cancer …
Automated approach for skin lesion segmentation utilizing a hybrid deep learning algorithm
RV Manjunath, YG N - Multimedia Tools and Applications, 2024 - Springer
In computer vision segmenting a digital image into multiple segments is a common objective
for which convolutional neural networks have been proven to be consistent. Skin lesion …
for which convolutional neural networks have been proven to be consistent. Skin lesion …
An enhanced deep learning framework for skin lesions segmentation
Reliable and accurate segmentation of skin lesions images is an essential step in analysing
skin lesions for the clinical diagnosis and treatment of melanoma skin cancer. Skin cancer …
skin lesions for the clinical diagnosis and treatment of melanoma skin cancer. Skin cancer …
[HTML][HTML] A machine learning approach for skin disease detection and classification using image segmentation
Skin diseases are common health problems around the world. The perils of the infections
are invisible, which cause physical health distress as well as initiate mental depression. In …
are invisible, which cause physical health distress as well as initiate mental depression. In …
Skin lesion segmentation with improved convolutional neural network
Recently, the incidence of skin cancer has increased considerably and is seriously
threatening human health. Automatic detection of this disease, where early detection is …
threatening human health. Automatic detection of this disease, where early detection is …