[HTML][HTML] Oral squamous cell carcinoma detection using EfficientNet on histopathological images

E Albalawi, A Thakur, MT Ramakrishna… - Frontiers in …, 2024 - frontiersin.org
Introduction Oral Squamous Cell Carcinoma (OSCC) poses a significant challenge in
oncology due to the absence of precise diagnostic tools, leading to delays in identifying the …

Oral squamous cell carcinoma detection using EfficientNet on histopathological images

E Albalawi, A Thakur… - Frontiers in …, 2024 - salford-repository.worktribe.com
Introduction: Oral Squamous Cell Carcinoma (OSCC) poses a significant challenge in
oncology due to the absence of precise diagnostic tools, leading to delays in identifying the …

Oral squamous cell carcinoma detection using EfficientNet on histopathological images

E Albalawi, A Thakur, MT Ramakrishna… - Frontiers in …, 2024 - pubmed.ncbi.nlm.nih.gov
Introduction Oral Squamous Cell Carcinoma (OSCC) poses a significant challenge in
oncology due to the absence of precise diagnostic tools, leading to delays in identifying the …

Oral squamous cell carcinoma detection using EfficientNet on histopathological images

E Albalawi, A Thakur, M Ramakrishna… - Frontiers in …, 2023 - europepmc.org
Methods The research utilized a histopathological imaging database for Oral Cancer
analysis, incorporating 1224 images from 230 patients. These images, taken at various …

[HTML][HTML] Oral squamous cell carcinoma detection using EfficientNet on histopathological images

E Albalawi, A Thakur, MT Ramakrishna… - Frontiers in …, 2023 - ncbi.nlm.nih.gov
Methods The research utilized a histopathological imaging database for Oral Cancer
analysis, incorporating 1224 images from 230 patients. These images, taken at various …

[PDF][PDF] Oral squamous cell carcinoma

E Albalawi, A Thakur, MT Ramakrishna, SB Khan… - 2024 - salford-repository.worktribe.com

Oral squamous cell carcinoma detection using EfficientNet on histopathological images.

E Albalawi, A Thakur, MT Ramakrishna… - Frontiers in …, 2024 - europepmc.org
Methods The research utilized a histopathological imaging database for Oral Cancer
analysis, incorporating 1224 images from 230 patients. These images, taken at various …