A survey of the recent architectures of deep convolutional neural networks
Abstract Deep Convolutional Neural Network (CNN) is a special type of Neural Networks,
which has shown exemplary performance on several competitions related to Computer …
which has shown exemplary performance on several competitions related to Computer …
A multi-phase deep CNN based mitosis detection framework for breast cancer histopathological images
The mitotic activity index is a key prognostic measure in tumour grading. Microscopy based
detection of mitotic nuclei is a significant overhead and necessitates automation. This work …
detection of mitotic nuclei is a significant overhead and necessitates automation. This work …
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 …
Detection of tumour infiltrating lymphocytes in CD3 and CD8 stained histopathological images using a two-phase deep CNN
Background Immuno-score, a prognostic measure for cancer, employed in determining
tumor grade and type, is generated by counting the number of Tumour-Infiltrating …
tumor grade and type, is generated by counting the number of Tumour-Infiltrating …
Malaria parasite classification framework using a novel channel squeezed and boosted CNN
Malaria is a life-threatening infection that infects the red blood cells and gradually grows
throughout the body. The plasmodium parasite is transmitted by a female Anopheles …
throughout the body. The plasmodium parasite is transmitted by a female Anopheles …
MaxViT-UNet: Multi-axis attention for medical image segmentation
Since their emergence, Convolutional Neural Networks (CNNs) have made significant
strides in medical image analysis. However, the local nature of the convolution operator may …
strides in medical image analysis. However, the local nature of the convolution operator may …
Malaria parasitic detection using a new deep boosted and ensemble learning framework
SH Khan, TJ Alahmadi - arXiv preprint arXiv:2212.02477, 2022 - arxiv.org
Malaria is a potentially fatal plasmodium parasite injected by female anopheles mosquitoes
that infect red blood cells and millions worldwide yearly. However, specialists' manual …
that infect red blood cells and millions worldwide yearly. However, specialists' manual …
Malaria parasitic detection using a new Deep Boosted and Ensemble Learning framework
Malaria is a potentially fatal plasmodium parasite injected by female anopheles mosquitoes
that infect red blood cells and cause millions of lifelong disability worldwide yearly. However …
that infect red blood cells and cause millions of lifelong disability worldwide yearly. However …