ChatGPT as an aid for pathological diagnosis of cancer
S Malik, S Zaheer - Pathology-Research and Practice, 2024 - Elsevier
Diagnostic workup of cancer patients is highly reliant on the science of pathology using
cytopathology, histopathology, and other ancillary techniques like immunohistochemistry …
cytopathology, histopathology, and other ancillary techniques like immunohistochemistry …
Advancements in triple-negative breast cancer sub-ty**, diagnosis and treatment with assistance of artificial intelligence: a focused review
Triple negative breast cancer (TNBC) is most aggressive type of breast cancer with multiple
invasive sub-types and leading cause of women's death worldwide. Lack of estrogen …
invasive sub-types and leading cause of women's death worldwide. Lack of estrogen …
Multi-label dental disorder diagnosis based on MobileNetV2 and swin transformer using bagging ensemble classifier
Dental disorders are common worldwide, causing pain or infections and limiting mouth
opening, so dental conditions impact productivity, work capability, and quality of life. Manual …
opening, so dental conditions impact productivity, work capability, and quality of life. Manual …
MSGM: An Advanced Deep Multi-Size Guiding Matching Network for Whole Slide Histopathology Images Addressing Staining Variation and Low Visibility Challenges
Matching whole slide histopathology images to provide comprehensive information on
homologous tissues is beneficial for cancer diagnosis. However, the challenge arises with …
homologous tissues is beneficial for cancer diagnosis. However, the challenge arises with …
[HTML][HTML] Artificial Intelligence and Deep Learning for Screening and Risk Assessment of Cancers
M Farrokhi, SJ Khouzani, M Farrokhi, H Jalayeri… - Kindle, 2024 - preferpub.org
Abstract Artificial Intelligence (AI) and Deep Learning have emerged as revolutionary tools
in the domain of cancer screening and risk assessment. Leveraging vast amounts of data …
in the domain of cancer screening and risk assessment. Leveraging vast amounts of data …
Virtual reality visualisation of automatic crack detection for bridge inspection from 3D digital twin generated by UAV photogrammetry
This research develops a UAV photogrammetry methodology to generate 3D digital twins
(DT) of the Elvanlı Bridge in Mersin, Turkey. These DTs are then analyzed using advanced …
(DT) of the Elvanlı Bridge in Mersin, Turkey. These DTs are then analyzed using advanced …
Detection of cracks in cultural heritage buildings using UAV photogrammetry-based digital twin
Notwithstanding the increasing efforts to conserve and archive historical artefacts,
comprehensive documentation employing various technologies remains crucial …
comprehensive documentation employing various technologies remains crucial …
Automatic Crack Detection and Structural Inspection of Cultural Heritage Buildings Using UAV Photogrammetry and Digital Twin Technology
Current methods for rapidly inspecting structures are difficult to document and subjective.
Automating the process with innovative technologies is necessary to overcome these …
Automating the process with innovative technologies is necessary to overcome these …
Lipid droplet detection in histopathological images using reinforcement learning
Y Harada, H Nishida, K Matsuura - … & Biotechnological Equipment, 2024 - Taylor & Francis
The identification and analysis of lipid droplets in pathological images are pivotal owing to
the variations in their size, shading and shape. The development of an artificial intelligence …
the variations in their size, shading and shape. The development of an artificial intelligence …
Generative Artificial Intelligence in Anatomic Pathology
Context.—Generative artificial intelligence (AI) has emerged as a transformative force in
various fields, including anatomic pathology, where it offers the potential to significantly …
various fields, including anatomic pathology, where it offers the potential to significantly …