[HTML][HTML] Applied machine learning in cancer research: A systematic review for patient diagnosis, classification and prognosis
Artificial Intelligence (AI) has recently altered the landscape of cancer research and medical
oncology using traditional Machine Learning (ML) algorithms and cutting-edge Deep …
oncology using traditional Machine Learning (ML) algorithms and cutting-edge Deep …
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 …
[PDF][PDF] Unveiling early detection and prevention of cancer: Machine learning and deep learning approaches
This research discusses the use of machine learning and deep learning techniques for
cancer detection and screening. The use of machine learning and deep learning algorithms …
cancer detection and screening. The use of machine learning and deep learning algorithms …
Classification of skin cancer from dermoscopic images using deep neural network architectures
A powerful medical decision support system for classifying skin lesions from dermoscopic
images is an important tool to prognosis of skin cancer. In the recent years, Deep …
images is an important tool to prognosis of skin cancer. In the recent years, Deep …
An interpretable skin cancer classification using optimized convolutional neural network for a smart healthcare system
Skin cancer is a prevalent form of malignancy globally, and its early and accurate diagnosis
is critical for patient survival. Clinical evaluation of skin lesions is essential, but it faces …
is critical for patient survival. Clinical evaluation of skin lesions is essential, but it faces …
Deep learning methods for accurate skin cancer recognition and mobile application
Although many efforts have been made through past years, skin cancer recognition from
medical images is still an active area of research aiming at more accurate results. Many …
medical images is still an active area of research aiming at more accurate results. Many …
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 …
Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network
Melanoma is the most fatal type of skin cancer which can cause the death of victims at the
advanced stage. Extensive work has been presented by the researcher on computer vision …
advanced stage. Extensive work has been presented by the researcher on computer vision …
An efficient deep learning-based skin cancer classifier for an imbalanced dataset
Efficient skin cancer detection using images is a challenging task in the healthcare domain.
In today's medical practices, skin cancer detection is a time-consuming procedure that may …
In today's medical practices, skin cancer detection is a time-consuming procedure that may …
A smartphone-based application for an early skin disease prognosis: Towards a lean healthcare system via computer-based vision
Malignancy is the tendency of a medical condition to progressively become fatal and
generally refers to the presence of cancerous cells that can spread, invade, and destroy …
generally refers to the presence of cancerous cells that can spread, invade, and destroy …