[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 …
A survey on deep learning for skin lesion segmentation
Skin cancer is a major public health problem that could benefit from computer-aided
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
Skin lesion analysis and cancer detection based on machine/deep learning techniques: A comprehensive survey
The skin is the human body's largest organ and its cancer is considered among the most
dangerous kinds of cancer. Various pathological variations in the human body can cause …
dangerous kinds of cancer. Various pathological variations in the human body can cause …
Cancer detection and segmentation using machine learning and deep learning techniques: A review
Cancer is the most fatal diseases in the world which has highest mortality rate as compared
to other type's human diseases. The most common and dangerous types of cancers are lung …
to other type's human diseases. The most common and dangerous types of cancers are lung …
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Purpose There are millions of people who lose their life due to several types of fatal
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …
diseases. Cancer is one of the most fatal diseases which may be due to obesity, alcohol …
DeepLabv3+-based segmentation and best features selection using slime mould algorithm for multi-class skin lesion classification
The development of abnormal cell growth is caused by different pathological alterations and
some genetic disorders. This alteration in skin cells is very dangerous and life-threatening …
some genetic disorders. This alteration in skin cells is very dangerous and life-threatening …
[HTML][HTML] LSCS-Net: A lightweight skin cancer segmentation network with densely connected multi-rate atrous convolution
The rising occurrence and notable public health consequences of skin cancer, especially of
the most challenging form known as melanoma, have created an urgent demand for more …
the most challenging form known as melanoma, have created an urgent demand for more …
A novel Deeplabv3+ and vision-based transformer model for segmentation and classification of skin lesions
Skin cancer (SC) is a common disease caused due to ultraviolet radiation. Accurate SC
detection is degraded due to some artifacts such as lesion variations in shape, size, color …
detection is degraded due to some artifacts such as lesion variations in shape, size, color …
Automated skin cancer detection and classification using cat swarm optimization with a deep learning model
VA Rajendran, S Shanmugam - Engineering, Technology & Applied …, 2024 - etasr.com
Abstract The application of Computer Vision (CV) and image processing in the medical
sector is of great significance, especially in the recognition of skin cancer using dermoscopic …
sector is of great significance, especially in the recognition of skin cancer using dermoscopic …
Multimodal biomedical image segmentation using multi-dimensional U-convolutional neural network
Deep learning recently achieved advancement in the segmentation of medical images. In
this regard, U-Net is the most predominant deep neural network, and its architecture is the …
this regard, U-Net is the most predominant deep neural network, and its architecture is the …