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 pipeline age evaluation: considering overall condition index and neural network based on measured data
Today, the chemical corrosion of metals is one of the main problems of large productions,
especially in the oil and gas industries. Due to massive downtime connected to corrosion …
especially in the oil and gas industries. Due to massive downtime connected to corrosion …
Stable convolutional neural network for economy applications
A convolutional neural network does not require to be stable when it is used for economy
applications being related with the offline learning. Nevertheless, a convolutional neural …
applications being related with the offline learning. Nevertheless, a convolutional neural …
A hard knowledge regularization method with probability difference in thorax disease images
The computer-aided thorax disease diagnosis suffers from the existing noisy labels in large-
scale datasets. Especially, the fine-grained thorax images also show high inter-similarity …
scale datasets. Especially, the fine-grained thorax images also show high inter-similarity …
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 …
Skin Lesion Classification via ensemble method on deep learning
Deep neural networks have shown promising results in the classification of skin lesion
images, particularly when they focus on the most significant regions of an image. However …
images, particularly when they focus on the most significant regions of an image. However …
Skin Melanoma Detection Using Image Augmentation
In order to effectively treat skin malignancy, a fatal kind of skin cancer, early detection and
precise diagnosis are essential. Deep learning approaches have recently demonstrated …
precise diagnosis are essential. Deep learning approaches have recently demonstrated …
LightDPH: Lightweight Dual-Projection-Head Hierarchical Contrastive Learning for Skin Lesion Classification
Effective skin cancer detection is crucial for early intervention and improved treatment
outcomes. Previous studies have primarily focused on enhancing the performance of skin …
outcomes. Previous studies have primarily focused on enhancing the performance of skin …
Optimizing Hyperparameters for Improved Melanoma Classification using Metaheuristic Algorithm
Melanoma, a prevalent and formidable skin cancer, necessitates early detection for
improved survival rates. The rising incidence of melanoma poses significant challenges to …
improved survival rates. The rising incidence of melanoma poses significant challenges to …
An Intelligent Machine Learning Framework for Melanoma Classification System: A Critique
One of the most common cancers, skin cancer accounts for roughly half of the cancer
prevalence in worldwide. Melanocytes, which are cells that produce pigment, are the source …
prevalence in worldwide. Melanocytes, which are cells that produce pigment, are the source …