DSCC_Net: multi-classification deep learning models for diagnosing of skin cancer using dermoscopic images
Simple Summary This paper proposes a deep learning-based skin cancer classification
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …
Analysis of artificial intelligence-based approaches applied to non-invasive imaging for early detection of melanoma: a systematic review
RH Patel, EA Foltz, A Witkowski, J Ludzik - Cancers, 2023 - mdpi.com
Simple Summary Melanoma is the most dangerous type of skin cancer worldwide. Early
detection of melanoma is crucial for better outcomes, but this often can be challenging. This …
detection of melanoma is crucial for better outcomes, but this often can be challenging. This …
Wavelet transform based deep residual neural network and ReLU based Extreme Learning Machine for skin lesion classification
Skin cancer is one of the most widespread threats to human health worldwide. Therefore,
early-stage recognition and detection of these diseases are crucial for patients' lives …
early-stage recognition and detection of these diseases are crucial for patients' lives …
A multi-stage melanoma recognition framework with deep residual neural network and hyperparameter optimization-based decision support in dermoscopy images
This paper developed a novel melanoma diagnosis model from dermoscopy images using a
novel hybrid model. Melanoma is the most dangerous and rarest type of skin cancer. It is …
novel hybrid model. Melanoma is the most dangerous and rarest type of skin cancer. It is …
Incorporating a novel dual transfer learning approach for medical images
Recently, transfer learning approaches appeared to reduce the need for many classified
medical images. However, these approaches still contain some limitations due to the …
medical images. However, these approaches still contain some limitations due to the …
PoxNet22: A fine-tuned model for the classification of monkeypox disease using transfer learning
Officials in the field of public health are concerned about a new monkeypox outbreak, even
though the world is now experiencing an epidemic of COVID-19. Similar to variola, cowpox …
though the world is now experiencing an epidemic of COVID-19. Similar to variola, cowpox …
SkinNet-16: A deep learning approach to identify benign and malignant skin lesions
Skin cancer these days have become quite a common occurrence especially in certain
geographic areas such as Oceania. Early detection of such cancer with high accuracy is of …
geographic areas such as Oceania. Early detection of such cancer with high accuracy is of …
Rapid identification of salmonella serovars by using Raman spectroscopy and machine learning algorithm
J Sun, X Xu, S Feng, H Zhang, L Xu, H Jiang, B Sun… - Talanta, 2023 - Elsevier
A widespread and escalating public health problem worldwide is foodborne illness, and
foodborne Salmonella infection is one of the most common causes of human illness. For the …
foodborne Salmonella infection is one of the most common causes of human illness. For the …
Handling imbalanced class in melanoma: Kemeny–Young rule based optimal rank aggregation and Self-Adaptive Differential Evolution Optimization
G Srivastava, N Pradhan - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Melanoma, despite its relatively low incidence compared to other types of skin cancer,
accounts for a significant proportion of skin cancer-related deaths. Early detection of …
accounts for a significant proportion of skin cancer-related deaths. Early detection of …
Internet of things-assisted smart skin cancer detection using metaheuristics with deep learning model
Simple Summary The Internet of Things (IoT) uses connected devices and sensors, like high-
resolution cameras and specific sensors in wearable devices, for the collection of skin …
resolution cameras and specific sensors in wearable devices, for the collection of skin …