Detection of skin cancer based on skin lesion images using deep learning
An increasing number of genetic and metabolic anomalies have been determined to lead to
cancer, generally fatal. Cancerous cells may spread to any body part, where they can be life …
cancer, generally fatal. Cancerous cells may spread to any body part, where they can be life …
Melanoma detection using deep learning-based classifications
One of the most prevalent cancers worldwide is skin cancer, and it is becoming more
common as the population ages. As a general rule, the earlier skin cancer can be …
common as the population ages. As a general rule, the earlier skin cancer can be …
Oil spill detection based on machine learning and deep learning: a review
AA Huby, R Sagban, R Alubady - 2022 5th International …, 2022 - ieeexplore.ieee.org
For many years, oil spills have posed a huge and inescapable threat to the seas and
oceans. Hence, it is noted that oil spills caused by the purposeful or unintentional discharge …
oceans. Hence, it is noted that oil spills caused by the purposeful or unintentional discharge …
[HTML][HTML] Proposing a hybrid technique of feature fusion and convolutional neural network for melanoma skin cancer detection
Skin cancer is among the most common cancer types worldwide. Automatic identification of
skin cancer is complicated because of the poor contrast and apparent resemblance between …
skin cancer is complicated because of the poor contrast and apparent resemblance between …
Skin cancer detection using deep learning
P Agrahari, A Agrawal, N Subhashini - Futuristic Communication and …, 2022 - Springer
Skin cancer is form of cancer which is a major health concern with 125,000 new melanoma
cases every year. Even around 3 million non-melanoma cases can be seen worldwide each …
cases every year. Even around 3 million non-melanoma cases can be seen worldwide each …
Hybrid feature fusion and machine learning approaches for melanoma skin cancer detection
Skin cancer is an exquisite disease globally nowadays. Because of the poor contrast and
apparent resemblance between skin and lesions, automatic identification of skin cancer is …
apparent resemblance between skin and lesions, automatic identification of skin cancer is …
Advances in optimisation algorithms and techniques for deep learning
CE Nwankpa - Advances in Science, Technology and …, 2020 - pureportal.strath.ac.uk
In the last decade, deep learning (DL) has witnessed excellent performances on a variety of
problems, including speech recognition, object recognition, detection, and natural language …
problems, including speech recognition, object recognition, detection, and natural language …
Convolutional neural network (CNN) for image classification of indonesia sign language using tensorflow
O Kembuan, GC Rorimpandey… - 2020 2nd International …, 2020 - ieeexplore.ieee.org
Sign language is a communication system that consists of a set of written symbols or
characters for speech and hearing-impaired society to communicate with other people …
characters for speech and hearing-impaired society to communicate with other people …
Artificial intelligence-driven enhanced skin cancer diagnosis: leveraging convolutional neural networks with discrete wavelet transformation
SPA Claret, JP Dharmian, AM Manokar - Egyptian Journal of Medical …, 2024 - Springer
Background Artificial intelligence (AI) has shown great promise in the field of healthcare as a
means of improving the diagnosis of skin cancer. The objective of this research is to …
means of improving the diagnosis of skin cancer. The objective of this research is to …
Prediction of Hospital Intesive Patients Using Neural Network Algorithm
R Rosita, DAA Pertiwi… - Journal of Soft Computing …, 2022 - shmpublisher.com
This study aims to predict whether the patient deserves to be inpatient or outpatient by
comparing several machine learning techniques, namely, logistic regression, decision tree …
comparing several machine learning techniques, namely, logistic regression, decision tree …