[HTML][HTML] A survey, review, and future trends of skin lesion segmentation and classification
Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …
analysis is an emerging field of research that has the potential to alleviate the burden and …
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 …
The future of skin cancer diagnosis: a comprehensive systematic literature review of machine learning and deep learning models
Skin cancer, a life-threatening disease, necessitates early detection and accurate
classification for successful treatment. Misdiagnoses can lead to significant consequences …
classification for successful treatment. Misdiagnoses can lead to significant consequences …
A novel multi-task learning network based on melanoma segmentation and classification with skin lesion images
Melanoma is known worldwide as a malignant tumor and the fastest-growing skin cancer
type. It is a very life-threatening disease with a high mortality rate. Automatic melanoma …
type. It is a very life-threatening disease with a high mortality rate. Automatic melanoma …
[HTML][HTML] Transformer guided self-adaptive network for multi-scale skin lesion image segmentation
C Xin, Z Liu, Y Ma, D Wang, J Zhang, L Li… - Computers in Biology …, 2024 - Elsevier
Background In recent years, skin lesion has become a major public health concern, and the
diagnosis and management of skin lesions depend heavily on the correct segmentation of …
diagnosis and management of skin lesions depend heavily on the correct segmentation of …
A Hybrid R-FTCNN based on principal component analysis for retinal disease detection from OCT images
Retinal disorders are of paramount importance in human life and if they do not receive
treatment for retinal disorders, humans may undergo visual complications. The physician …
treatment for retinal disorders, humans may undergo visual complications. The physician …
Automatic skin lesion segmentation using a hybrid deep learning network
Skin cancer occurs due to the abnormal development of the skin cells. It is extremely
important to identify this change in skin cells as soon as possible otherwise it is harmful to …
important to identify this change in skin cells as soon as possible otherwise it is harmful to …
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 …
[HTML][HTML] Deep artificial intelligence applications for natural disaster management systems: A methodological review
Deep learning techniques through semantic segmentation networks have been widely used
for natural disaster analysis and response. The underlying base of these implementations …
for natural disaster analysis and response. The underlying base of these implementations …
TransLevelSet: Integrating Vision Transformers with Level-Sets for Medical Image Segmentation
Abstract Recently, Vision Transformers (ViTs) have emerged as a breakthrough in computer
vision and image analysis. Still, their exceptional performance depends on the availability of …
vision and image analysis. Still, their exceptional performance depends on the availability of …