Cargando…
DSCNet: Deep Skip Connections-Based Dense Network for ALL Diagnosis Using Peripheral Blood Smear Images
Acute lymphoblastic leukemia (ALL) is a life-threatening hematological malignancy that requires early and accurate diagnosis for effective treatment. However, the manual diagnosis of ALL is time-consuming and can delay critical treatment decisions. To address this challenge, researchers have turned...
Autores principales: | Kaur, Manjit, AlZubi, Ahmad Ali, Jain, Arpit, Singh, Dilbag, Yadav, Vaishali, Alkhayyat, Ahmed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486457/ https://www.ncbi.nlm.nih.gov/pubmed/37685290 http://dx.doi.org/10.3390/diagnostics13172752 |
Ejemplares similares
-
Densely connected convolutional networks-based COVID-19 screening model
por: Singh, Dilbag, et al.
Publicado: (2021) -
Efficient Skip Connections-Based Residual Network (ESRNet) for Brain Tumor Classification
por: B., Ashwini, et al.
Publicado: (2023) -
Metaheuristic-based Deep COVID-19 Screening Model from Chest X-Ray Images
por: Kaur, Manjit, et al.
Publicado: (2021) -
Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks
por: Singh, Dilbag, et al.
Publicado: (2020) -
Detection and Classification of Colorectal Polyp Using Deep Learning
por: Tanwar, Sushama, et al.
Publicado: (2022)