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A survey of convolutional neural network in breast cancer
Problems For people all over the world, cancer is one of the most feared diseases. Cancer is
one of the major obstacles to improving life expectancy in countries around the world and …
one of the major obstacles to improving life expectancy in countries around the world and …
A survey on recent trends in deep learning for nucleus segmentation from histopathology images
Nucleus segmentation is an imperative step in the qualitative study of imaging datasets,
considered as an intricate task in histopathology image analysis. Segmenting a nucleus is …
considered as an intricate task in histopathology image analysis. Segmenting a nucleus is …
Ransomware detection using deep learning based unsupervised feature extraction and a cost sensitive Pareto Ensemble classifier
Ransomware attacks pose a serious threat to Internet resources due to their far-reaching
effects. It's Zero-day variants are even more hazardous, as less is known about them. In this …
effects. It's Zero-day variants are even more hazardous, as less is known about them. In this …
COVID-19 detection in chest X-ray images using deep boosted hybrid learning
The new emerging COVID-19, declared a pandemic disease, has affected millions of human
lives and caused a massive burden on healthcare centers. Therefore, a quick, accurate, and …
lives and caused a massive burden on healthcare centers. Therefore, a quick, accurate, and …
A comprehensive framework towards segmenting and classifying breast cancer patients using deep learning and Aquila optimizer
Breast cancer is among the major frequent types of cancer worldwide, causing a significant
death rate every year. It is the second most prevalent malignancy in Egypt. With the …
death rate every year. It is the second most prevalent malignancy in Egypt. With the …
[HTML][HTML] Covid-19 detection and analysis from lung ct images using novel channel boosted cnns
In December 2019, the global pandemic COVID-19 in Wuhan, China, affected human life
and the worldwide economy. Therefore, an efficient diagnostic system is required to control …
and the worldwide economy. Therefore, an efficient diagnostic system is required to control …
From modern CNNs to vision transformers: Assessing the performance, robustness, and classification strategies of deep learning models in histopathology
While machine learning is currently transforming the field of histopathology, the domain
lacks a comprehensive evaluation of state-of-the-art models based on essential but …
lacks a comprehensive evaluation of state-of-the-art models based on essential but …
Mitotic nuclei analysis in breast cancer histopathology images using deep ensemble classifier
Mitotic nuclei estimation in breast tumour samples has a prognostic significance in analysing
tumour aggressiveness and grading system. The automated assessment of mitotic nuclei is …
tumour aggressiveness and grading system. The automated assessment of mitotic nuclei is …
COVID-19 detection in chest X-ray images using a new channel boosted CNN
COVID-19 is a respiratory illness that has affected a large population worldwide and
continues to have devastating consequences. It is imperative to detect COVID-19 at the …
continues to have devastating consequences. It is imperative to detect COVID-19 at the …