Vision transformers in medical computer vision—A contemplative retrospection
Abstract Vision Transformers (ViTs), with the magnificent potential to unravel the information
contained within images, have evolved as one of the most contemporary and dominant …
contained within images, have evolved as one of the most contemporary and dominant …
Machine learning approaches for skin cancer classification from dermoscopic images: a systematic review
F Grignaffini, F Barbuto, L Piazzo, M Troiano… - Algorithms, 2022 - mdpi.com
Skin cancer (SC) is one of the most prevalent cancers worldwide. Clinical evaluation of skin
lesions is necessary to assess the characteristics of the disease; however, it is limited by …
lesions is necessary to assess the characteristics of the disease; however, it is limited by …
Hybrid model for detection of cervical cancer using causal analysis and machine learning techniques
UK Lilhore, M Poongodi, A Kaur… - … Methods in Medicine, 2022 - Wiley Online Library
Cervical cancer has become the third most common form of cancer in the in‐universe, after
the widespread breast cancer. Human papillomavirus risk of infection is linked to the …
the widespread breast cancer. Human papillomavirus risk of infection is linked to the …
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 classification using a novel deep convolutional neural network with dermoscopic images
Automatic melanoma detection from dermoscopic skin samples is a very challenging task.
However, using a deep learning approach as a machine vision tool can overcome some …
However, using a deep learning approach as a machine vision tool can overcome some …
[HTML][HTML] Brain tumor detection in MR image using superpixels, principal component analysis and template based K-means clustering algorithm
In the present era, human brain tumor is the extremist dangerous and devil to the human
being that leads to certain death. Furthermore, the brain tumor arises more complexity of …
being that leads to certain death. Furthermore, the brain tumor arises more complexity of …
[HTML][HTML] An improved transformer network for skin cancer classification
C Xin, Z Liu, K Zhao, L Miao, Y Ma, X Zhu… - Computers in Biology …, 2022 - Elsevier
Background Use of artificial intelligence to identify dermoscopic images has brought major
breakthroughs in recent years to the early diagnosis and early treatment of skin cancer, the …
breakthroughs in recent years to the early diagnosis and early treatment of skin cancer, the …
Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm
In the last decade, there has been a significant increase in medical cases involving brain
tumors. Brain tumor is the tenth most common type of tumor, affecting millions of people …
tumors. Brain tumor is the tenth most common type of tumor, affecting millions of people …
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 …
[Retracted] A Novel Hybrid Deep Learning Approach for Skin Lesion Segmentation and Classification
Skin cancer is one of the most common diseases that can be initially detected by visual
observation and further with the help of dermoscopic analysis and other tests. As at an initial …
observation and further with the help of dermoscopic analysis and other tests. As at an initial …