An efficient artificial rabbits optimization based on mutation strategy for skin cancer prediction
M Abd Elaziz, A Dahou, A Mabrouk… - Computers in Biology …, 2023 - Elsevier
Accurate skin lesion diagnosis is critical for the early detection of melanoma. However, the
existing approaches are unable to attain substantial levels of accuracy. Recently, pre-trained …
existing approaches are unable to attain substantial levels of accuracy. Recently, pre-trained …
Optimal skin cancer detection model using transfer learning and dynamic-opposite hunger games search
Recently, pre-trained deep learning (DL) models have been employed to tackle and
enhance the performance on many tasks such as skin cancer detection instead of training …
enhance the performance on many tasks such as skin cancer detection instead of training …
Metaheuristic algorithm based hyper-parameters optimization for skin lesion classification
F Golnoori, FZ Boroujeni, A Monadjemi - Multimedia Tools and …, 2023 - Springer
The most dangerous type of skin cancer in the world is Melanoma. Early diagnosis of this
cancer in primary stages can increase the chance of surviving death. In recent years …
cancer in primary stages can increase the chance of surviving death. In recent years …
Deep learning ensemble methods for skin lesion analysis towards melanoma detection
Skin cancer has a significant impact across the world. Melanoma is a malignant form of skin
cancer. Skin lesion segmentation is an important step in computer-aided diagnosis (CAD) …
cancer. Skin lesion segmentation is an important step in computer-aided diagnosis (CAD) …
Skin cancer diagnosis based on deep transfer learning and sparrow search algorithm
HM Balaha, AES Hassan - Neural Computing and Applications, 2023 - Springer
Skin cancer affects the lives of millions of people every year, as it is considered the most
popular form of cancer. In the USA alone, approximately three and a half million people are …
popular form of cancer. In the USA alone, approximately three and a half million people are …
Classification of skin cancer lesions using explainable deep learning
Skin cancer is among the most prevalent and life-threatening forms of cancer that occur
worldwide. Traditional methods of skin cancer detection need an in-depth physical …
worldwide. Traditional methods of skin cancer detection need an in-depth physical …
Skin lesion detection using an ensemble of deep models: SLDED
Skin cancer is a major public health concern and the most common type of cancer among
the other types. Reliable automated classification systems will provide clinicians with great …
the other types. Reliable automated classification systems will provide clinicians with great …
Deep learning in skin lesion analysis for malignant melanoma cancer identification
MS Sivakumar, LM Leo, T Gurumekala… - Multimedia Tools and …, 2024 - Springer
The higher rate of skin diseases caused by infections, allergies, lifestyle changes, increased
use of chemicals, unhealthy food habits, and hereditary reactions, among other factors …
use of chemicals, unhealthy food habits, and hereditary reactions, among other factors …
Model hybridization & learning rate annealing for skin cancer detection
The increasing frequency of skin tumour across the globe and their timely diagnosis is one
of the most promising research directions in the healthcare domain. The most important …
of the most promising research directions in the healthcare domain. The most important …
A deep-ensemble-learning-based approach for skin cancer diagnosis
K Shehzad, T Zhenhua, S Shoukat, A Saeed, I Ahmad… - Electronics, 2023 - mdpi.com
Skin cancer is one of the widespread diseases among existing cancer types. More
importantly, the detection of lesions in early diagnosis has tremendously attracted …
importantly, the detection of lesions in early diagnosis has tremendously attracted …