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 …
[HTML][HTML] A survey of convolutional neural network in breast cancer
Aims A large number of clinical trials have proved that if breast cancer is diagnosed at an
early stage, it could give patients more treatment options and improve the treatment effect …
early stage, it could give patients more treatment options and improve the treatment effect …
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 …
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 …
A generalizable and robust deep learning algorithm for mitosis detection in multicenter breast histopathological images
Mitosis counting of biopsies is an important biomarker for breast cancer patients, which
supports disease prognostication and treatment planning. Developing a robust mitotic cell …
supports disease prognostication and treatment planning. Developing a robust mitotic cell …
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 …
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 …
[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 …
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 …
Coronavirus disease analysis using chest X-ray images and a novel deep convolutional neural network
Background The recent emergence of a highly infectious and contagious respiratory viral
disease known as COVID-19 has vastly impacted human lives and overloaded the health …
disease known as COVID-19 has vastly impacted human lives and overloaded the health …