Brain tumor detection with integrating traditional and computational intelligence approaches across diverse imaging modalities-Challenges and future directions
Brain tumor segmentation and classification play a crucial role in the diagnosis and
treatment planning of brain tumors. Accurate and efficient methods for identifying tumor …
treatment planning of brain tumors. Accurate and efficient methods for identifying tumor …
Detection and classification of dermatoscopic images using segmentation and transfer learning
With the increase in the number of cases every year, skin cancer stays as one of the most
common cancers worldwide. Although dermatologists have been aided with modern …
common cancers worldwide. Although dermatologists have been aided with modern …
Face Mask Recognition Based on Two-Stage Detector
With the number of positive cases of Covid-19 infection is increasing, it is essential for
everyone to wear a face mask and prevent the spread of Covid. As people are gathering in a …
everyone to wear a face mask and prevent the spread of Covid. As people are gathering in a …
An automated unsupervised deep learning–based approach for diabetic retinopathy detection
Abstract As per the International Diabetes Federation (IDF) report, 35–60% of people
suffering from diabetic retinopathy (DR) have a history of diabetes. DR is one of the primary …
suffering from diabetic retinopathy (DR) have a history of diabetes. DR is one of the primary …
LSW-Net: A learning scattering wavelet network for brain tumor and retinal image segmentation
R Liu, H Nan, Y Zou, T **e, Z Ye - Electronics, 2022 - mdpi.com
Convolutional network models have been widely used in image segmentation. However,
there are many types of boundary contour features in medical images which seriously affect …
there are many types of boundary contour features in medical images which seriously affect …
A study on automatic latent fingerprint identification system
UU Deshpande, VS Malemath - Journal of Computer …, 2022 - journals.bilpubgroup.com
Latent fingerprints are the unintentional impressions found at the crime scenes and are
considered crucial evidence in criminal identification. Law enforcement and forensic …
considered crucial evidence in criminal identification. Law enforcement and forensic …
Metaheuristic-based energy-aware image compression for mobile app development
SJ Mousavirad, LA Alexandre - Multimedia Tools and Applications, 2024 - Springer
The widely applied JPEG standard has undergone recent efforts using population-based
metaheuristic (PBMH) algorithms to optimise quantisation tables (QTs) for specific images …
metaheuristic (PBMH) algorithms to optimise quantisation tables (QTs) for specific images …
A hybrid deep learning for patient activity recognition (PAR): Real time body wearable sensor network from healthcare monitoring system (HMS)
K Balasubramanian, AV Prabu… - Journal of Intelligent …, 2023 - content.iospress.com
Today's healthcare sectors are driven and work to rescue patients as soon as possible by
giving them the right care and treatment. A healthcare monitoring system works in two ways …
giving them the right care and treatment. A healthcare monitoring system works in two ways …
The upsurge of deep learning for disease prediction in healthcare
Aman, RS Chhillar - International Conference on Innovations in Data …, 2022 - Springer
The healthcare sector generates around one trillion Gigabytes of clinical data annually. With
limited resources, manually analyzing these massive amounts of data is tremendously time …
limited resources, manually analyzing these massive amounts of data is tremendously time …
Breast cancer classification application based on QGA-SVM
Y Dong, Z Li, Z Chen, Y Xu… - Journal of Intelligent & …, 2023 - content.iospress.com
Early diagnosis of breast cancer plays an important role in improving survival rate.
Physiological changes of breast tissue can be observed and measured through medical …
Physiological changes of breast tissue can be observed and measured through medical …