[HTML][HTML] Skin lesion segmentation using an ensemble of different image processing methods
In recent times, there has been a huge increase in the average number of cases of skin
cancer per year, which sometimes become life threatening for humans. Early detection of …
cancer per year, which sometimes become life threatening for humans. Early detection of …
[HTML][HTML] Email spam detection by deep learning models using novel feature selection technique and BERT
Due to the influx of advancements in technology and the increased simplicity of
communication through emails, there has been a severe threat to the global economy and …
communication through emails, there has been a severe threat to the global economy and …
[HTML][HTML] An effective multiclass skin cancer classification approach based on deep convolutional neural network
EH Houssein, DA Abdelkareem, G Hu, MA Hameed… - Cluster …, 2024 - Springer
Skin cancer is one of the most dangerous types of cancer due to its immediate appearance
and the possibility of rapid spread. It arises from uncontrollably growing cells, rapidly …
and the possibility of rapid spread. It arises from uncontrollably growing cells, rapidly …
Combining frequency transformer and CNNs for medical image segmentation
Image segmentation is one of the most challenging and difficult tasks in digital image
processing. It has many medical applications such as cancerous tumors segmentation …
processing. It has many medical applications such as cancerous tumors segmentation …
[HTML][HTML] Enhanced payload volume in the least significant bits image steganography using hash function
The art of message masking is called steganography. Steganography keeps communication
from being seen by any other person. In the domain of information concealment within …
from being seen by any other person. In the domain of information concealment within …
Deep ensemble model for skin cancer classification with improved feature set
S Burada, BE Manjunathswamy, MS Kumar - Multimedia Tools and …, 2024 - Springer
Early identification of skin cancer is mandatory to minimize the worldwide death rate as this
disease is covering more than 30% of mortality rates in young and adults. Researchers are …
disease is covering more than 30% of mortality rates in young and adults. Researchers are …
CNN segmentation of skin melanoma in pre-processed dermoscopy images
Using medical data to improve diagnosis accuracy has recently become common practice in
hospitals. A modern computing environment has enabled real-time diagnosis of medical …
hospitals. A modern computing environment has enabled real-time diagnosis of medical …
A Sequential VGG16+ CNN based Automated Approach with Adaptive Input for Efficient Detection of Knee Osteoarthritis Stages
Osteoarthritis (OA) is a prevalent musculoskeletal disorder, predominantly affecting the knee
joint and resulting in significant pain and functional limitations. The Kellgren-Lawrence (KL) …
joint and resulting in significant pain and functional limitations. The Kellgren-Lawrence (KL) …
Automatic liver-vessel examination from CT slice using Kapur's thresholding and watershed algorithm
Computerized medical image examination (CMIE) plays a significant role in modern
hospitals to achieve the necessary tasks, like segmentation and classification. By …
hospitals to achieve the necessary tasks, like segmentation and classification. By …
[HTML][HTML] Enhancing Skin Cancer Diagnosis Using Swin Transformer with Hybrid Shifted Window-Based Multi-head Self-attention and SwiGLU-Based MLP
Skin cancer is one of the most frequently occurring cancers worldwide, and early detection is
crucial for effective treatment. Dermatologists often face challenges such as heavy data …
crucial for effective treatment. Dermatologists often face challenges such as heavy data …