Breast cancer detection on histopathological images using a composite dilated Backbone Network
V Mohanakurup… - Computational …, 2022 - Wiley Online Library
Breast cancer is a lethal illness that has a high mortality rate. In treatment, the accuracy of
diagnosis is crucial. Machine learning and deep learning may be beneficial to doctors. The …
diagnosis is crucial. Machine learning and deep learning may be beneficial to doctors. The …
A Lightweight Hybrid Dilated Ghost Model‐Based Approach for the Prognosis of Breast Cancer
E Ramirez-Asis, RPM Bolivar… - Computational …, 2022 - Wiley Online Library
Most approaches use interactive priors to find tumours and then segment them based on
tumour‐centric candidates. A fully convolutional network is demonstrated for end‐to‐end …
tumour‐centric candidates. A fully convolutional network is demonstrated for end‐to‐end …
Ubiquitous vehicular ad-hoc network computing using deep neural network with iot-based bat agents for traffic management
In this paper, Deep Neural Networks (DNN) with Bat Algorithms (BA) offer a dynamic form of
traffic control in Vehicular Adhoc Networks (VANETs). The former is used to route vehicles …
traffic control in Vehicular Adhoc Networks (VANETs). The former is used to route vehicles …
Role of hybrid deep neural networks (HDNNs), computed tomography, and chest X-rays for the detection of COVID-19
COVID-19 syndrome has extensively escalated worldwide with the induction of the year
2020 and has resulted in the illness of millions of people. COVID-19 patients bear an …
2020 and has resulted in the illness of millions of people. COVID-19 patients bear an …
Hybridizing convolutional neural network for classification of lung diseases
Pulmonary disease is widespread worldwide. There is persistent blockage of the lungs,
pneumonia, asthma, TB, etc. It is essential to diagnose the lungs promptly. For this reason …
pneumonia, asthma, TB, etc. It is essential to diagnose the lungs promptly. For this reason …
[Retracted] Multiclass Classification of Chest X‐Ray Images for the Prediction of COVID‐19 Using Capsule Network
M Ragab, S Alshehri, NA Alhakamy… - Computational …, 2022 - Wiley Online Library
It is critical to establish a reliable method for detecting people infected with COVID‐19 since
the pandemic has numerous harmful consequences worldwide. If the patient is infected with …
the pandemic has numerous harmful consequences worldwide. If the patient is infected with …
Robust Classification and Detection of Big Medical Data Using Advanced Parallel K-Means Clustering, YOLOv4, and Logistic Regression
Big-medical-data classification and image detection are crucial tasks in the field of
healthcare, as they can assist with diagnosis, treatment planning, and disease monitoring …
healthcare, as they can assist with diagnosis, treatment planning, and disease monitoring …
Deep Learning Model for the Detection of Real Time Breast Cancer Images Using Improved Dilation-Based Method
Breast cancer can develop when breast cells replicate abnormally. It is now a worldwide
issue that concerns people's safety all around the world. Every day, women die from breast …
issue that concerns people's safety all around the world. Every day, women die from breast …
[HTML][HTML] Early and accurate detection of melanoma skin cancer using hybrid level set approach
Digital dermoscopy is used to identify cancer in skin lesions, and sun exposure is one of the
leading causes of melanoma. It is crucial to distinguish between healthy skin and malignant …
leading causes of melanoma. It is crucial to distinguish between healthy skin and malignant …
Novel face mask detection technique using machine learning to control COVID'19 pandemic
The COVID-19 pandemic has been scattering speedily around the world since 2019. Due to
this pandemic, human life is becoming increasingly involutes and complex. Many people …
this pandemic, human life is becoming increasingly involutes and complex. Many people …