Cargando…
Lymphocyte detection for cancer analysis using a novel fusion block based channel boosted CNN
Tumor-infiltrating lymphocytes, specialized immune cells, are considered an important biomarker in cancer analysis. Automated lymphocyte detection is challenging due to its heterogeneous morphology, variable distribution, and presence of artifacts. In this work, we propose a novel Boosted Channels F...
Autores principales: | Rauf, Zunaira, Khan, Abdul Rehman, Sohail, Anabia, Alquhayz, Hani, Gwak, Jeonghwan, Khan, Asifullah |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10462751/ https://www.ncbi.nlm.nih.gov/pubmed/37640739 http://dx.doi.org/10.1038/s41598-023-40581-z |
Ejemplares similares
-
COVID-19 Detection in Chest X-ray Images Using a New Channel Boosted CNN
por: Khan, Saddam Hussain, et al.
Publicado: (2022) -
A multi-phase deep CNN based mitosis detection framework for breast cancer histopathological images
por: Sohail, Anabia, et al.
Publicado: (2021) -
COVID-19 detection in chest X-ray images using deep boosted hybrid learning
por: Khan, Saddam Hussain, et al.
Publicado: (2021) -
IoT malware detection architecture using a novel channel boosted and squeezed CNN
por: Asam, Muhammad, et al.
Publicado: (2022) -
Coronavirus disease analysis using chest X-ray images and a novel deep convolutional neural network
por: Khan, Saddam Hussain, et al.
Publicado: (2021)