Cargando…
Tile-based microscopic image processing for malaria screening using a deep learning approach
BACKGROUND: Manual microscopic examination remains the golden standard for malaria diagnosis. But it is laborious, and pathologists with experience are needed for accurate diagnosis. The need for computer-aided diagnosis methods is driven by the enormous workload and difficulties associated with man...
Autores principales: | Shewajo, Fetulhak Abdurahman, Fante, Kinde Anlay |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035268/ https://www.ncbi.nlm.nih.gov/pubmed/36949382 http://dx.doi.org/10.1186/s12880-023-00993-9 |
Ejemplares similares
-
Malaria parasite detection in thick blood smear microscopic images using modified YOLOV3 and YOLOV4 models
por: Abdurahman, Fetulhak, et al.
Publicado: (2021) -
Modified U-Net for liver cancer segmentation from computed tomography images with a new class balancing method
por: Ayalew, Yodit Abebe, et al.
Publicado: (2021) -
Single-cell conventional pap smear image classification using pre-trained deep neural network architectures
por: Mohammed, Mohammed Aliy, et al.
Publicado: (2021) -
Validating Poly(3,4-ethylene dioxythiophene) Polystyrene Sulfonate-Based Textile Electroencephalography Electrodes by a Textile-Based Head Phantom
por: Tseghai, Granch Berhe, et al.
Publicado: (2021) -
Development of a Flex and Stretchy Conductive Cotton Fabric Via Flat Screen Printing of PEDOT:PSS/PDMS Conductive Polymer Composite
por: Tseghai, Granch Berhe, et al.
Publicado: (2020)